{"meta":{"query_hash":"42613427c81e","filters":{"venue":"SWAT4LS"},"cohort_total":3,"direct_labels_cover":0,"predictions_cover":3,"exported":3,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/42613427c81e","api":"https://metacan.xera.ac/api/v1/cohort?venue=SWAT4LS"},"results":[{"id":"W2396634530","doi":"","title":"SEBI: An Architecture for Biomedical Image Discovery, Interoperability and Reusability Based on Semantic Enrichment.","year":2014,"lang":"en","type":"article","venue":"SWAT4LS","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Computer science; Interoperability; Information retrieval; Reusability; Key (lock); Information extraction; World Wide Web; Annotation; Semantic search; Semantic Web; Artificial intelligence; Software","score_opus":0.010080140793564967,"score_gpt":0.27974026627342813,"score_spread":0.2696601254798632,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2396634530","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":"reproducibility","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":"reproducibility","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002438434,0.0005744634,0.93699604,0.0005994603,0.000070440525,0.00043997017,0.0015571915,0.05399605,0.003327884],"genre_scores_gemma":[0.02662702,0.0010151969,0.9440066,0.00066945923,0.000053122396,0.00069919234,0.017145487,0.0030894727,0.006694433],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9977034,0.00041101073,0.0002972082,0.0005454646,0.0008600768,0.00018294985],"domain_scores_gemma":[0.99571747,0.0010237119,0.0004025984,0.0014506009,0.0009740332,0.00043157488],"candidate_categories":["metaresearch","open_science"],"consensus_categories":[],"category_scores_codex":[0.0057518417,0.001557321,0.0017506183,0.009643725,0.0014703023,0.005129296,0.0052526314,0.002341413,0.004101867],"category_scores_gemma":[0.009977587,0.0015248539,0.0028150063,0.007265952,0.0020843302,0.009877785,0.010218614,0.0030368157,0.0066355],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013270184,0.0009634114,0.006465118,0.0028560034,0.000983551,0.0017052741,0.0035576315,0.012740921,0.051814266,0.118100345,0.12919155,0.6702949],"study_design_scores_gemma":[0.00011344567,0.00025092054,0.0050870664,0.0006636329,0.0004332127,0.001992214,0.0009581154,0.26205605,0.060101323,0.20180602,0.46620846,0.0003295787],"about_ca_topic_score_codex":0.00744838,"about_ca_topic_score_gemma":0.010724408,"teacher_disagreement_score":0.99474734,"about_ca_system_score_codex":0.0018115521,"about_ca_system_score_gemma":0.002596318,"threshold_uncertainty_score":0.030419052},"labels":[],"label_agreement":null},{"id":"W2407659378","doi":"","title":"Ecotoxicology Data Federation with SADI Semantic Web Services.","year":2012,"lang":"en","type":"article","venue":"SWAT4LS","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"SPARQL; World Wide Web; Computer science; Premise; Semantic Web; RDF; Data science; Information retrieval","score_opus":0.025816486318144635,"score_gpt":0.2859690024521057,"score_spread":0.26015251613396106,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2407659378","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07486529,0.00072327384,0.73786324,0.00454671,0.00043910107,0.001770831,0.020019084,0.112548895,0.047223464],"genre_scores_gemma":[0.4339515,0.0005875607,0.45692846,0.0016193347,0.000124739,0.0010706257,0.092126675,0.0035444144,0.010046616],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9949234,0.0010290907,0.00093568605,0.000760654,0.0019482502,0.00040297967],"domain_scores_gemma":[0.9888881,0.002398533,0.00081135985,0.005113875,0.0020886867,0.0006993849],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011591667,0.0006764843,0.0007963576,0.0022796765,0.0015162164,0.0037731796,0.0026838675,0.0011406188,0.0029711511],"category_scores_gemma":[0.01103627,0.0005877578,0.001973916,0.0026200265,0.0009698198,0.0060591386,0.005337086,0.0015217795,0.0019521865],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0047553442,0.0023801643,0.07118142,0.0028080088,0.0014206431,0.0027103482,0.0052990387,0.029360311,0.076151066,0.20773931,0.16582195,0.43037236],"study_design_scores_gemma":[0.000296903,0.00036396473,0.013711313,0.00039848938,0.00041363022,0.0016678083,0.0019447185,0.2931323,0.08080339,0.095432006,0.51158494,0.00025051172],"about_ca_topic_score_codex":0.007979131,"about_ca_topic_score_gemma":0.00720154,"teacher_disagreement_score":0.011591667,"about_ca_system_score_codex":0.0025046126,"about_ca_system_score_gemma":0.004736792,"threshold_uncertainty_score":0.061303377},"labels":[],"label_agreement":null},{"id":"W2407774790","doi":"","title":"Automated Generation of SADI Web Services for Clinical Intelligence using Ruled-Based Semantic Mappings.","year":2015,"lang":"en","type":"article","venue":"SWAT4LS","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science; SQL; SPARQL; World Wide Web; Relational database; Information retrieval; Web service; Database; Semantic Web; RDF","score_opus":0.24387245030173849,"score_gpt":0.4005271412896605,"score_spread":0.156654690987922,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2407774790","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012239995,0.00010320797,0.9619666,0.0003668488,0.0000589334,0.00085327076,0.001023024,0.017191134,0.006197101],"genre_scores_gemma":[0.14722133,0.00016455678,0.84276956,0.00022199104,0.000025207075,0.00051859044,0.0051229163,0.000956126,0.0029996785],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977507,0.0004844048,0.00023084009,0.00028937354,0.00112304,0.000121571924],"domain_scores_gemma":[0.9968689,0.0013962163,0.00021526225,0.0006790534,0.0006978309,0.00014278735],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027200603,0.0007603144,0.00045290997,0.0017454446,0.00076701277,0.0024589275,0.0016676108,0.00085568987,0.0033489878],"category_scores_gemma":[0.008003536,0.00059041183,0.0013308597,0.0009380414,0.0009897188,0.0015670484,0.0029263687,0.0011351206,0.0019814821],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007626533,0.0010794383,0.01355192,0.0010315239,0.00024251972,0.0033690846,0.00287341,0.124208845,0.07700591,0.18016878,0.041038148,0.55466783],"study_design_scores_gemma":[0.000093495306,0.00010211907,0.0009835172,0.000097063916,0.00004895182,0.00065689354,0.00036978218,0.8122225,0.054504883,0.055551663,0.07530455,0.000064533575],"about_ca_topic_score_codex":0.0042400286,"about_ca_topic_score_gemma":0.004790009,"teacher_disagreement_score":0.0042400286,"about_ca_system_score_codex":0.0010897913,"about_ca_system_score_gemma":0.0022928591,"threshold_uncertainty_score":0.014385223},"labels":[],"label_agreement":null}]}