{"meta":{"query_hash":"ae7ef53511dd","filters":{"venue":"ALAM Journal of Maritime Studies"},"cohort_total":2,"direct_labels_cover":1,"predictions_cover":2,"exported":2,"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/ae7ef53511dd","api":"https://metacan.xera.ac/api/v1/cohort?venue=ALAM+Journal+of+Maritime+Studies"},"results":[{"id":"W7138840861","doi":"10.66352/ajms.v4i1.20","title":"Engine-Room Simulator (Ers) As Assessment Tool in Higher Education: Case Study of a Maritime Education &amp; Training Institution in Malaysia","year":2025,"lang":"","type":"article","venue":"ALAM Journal of Maritime Studies","topic":"Maritime Navigation and Safety","field":"Engineering","cited_by":0,"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":"Ministry of Economy, Trade and Industry","keywords":"Sustainability; Training (meteorology); Institution; Maritime industry; Key (lock)","score_opus":0.036342837462448783,"score_gpt":0.3475644527207033,"score_spread":0.31122161525825454,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7138840861","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979242,0.000104698294,0.00044425434,0.0003736718,0.000008211968,0.000045318127,0.000016523578,0.000006971281,0.0010761516],"genre_scores_gemma":[0.9963799,0.00032312426,0.0011263757,0.00016582504,0.000006757822,0.00002186173,0.000011963302,0.0000068725813,0.0019572906],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974728,0.0012428566,0.000113937764,0.0001953754,0.00031098851,0.00066406315],"domain_scores_gemma":[0.994419,0.001749171,0.0007590364,0.00018303351,0.0006216905,0.0022681656],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031323258,0.00040402828,0.00035495337,0.0009896712,0.0037682606,0.0020701773,0.0014189781,0.0017682903,0.003301801],"category_scores_gemma":[0.0048792986,0.00044082745,0.00038651857,0.0007149173,0.001994499,0.0014694282,0.002613708,0.001741026,0.0007234538],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005003793,0.009669449,0.40297496,0.0013103308,0.00007280569,0.06113272,0.37749496,0.0031541754,0.01140034,0.0025475465,0.0031375666,0.12660483],"study_design_scores_gemma":[0.000033799653,0.0035101264,0.16476734,0.0006497116,0.000060690505,0.014553332,0.7838492,0.002612156,0.0073361075,0.00041536777,0.022053415,0.00015874737],"about_ca_topic_score_codex":0.008368629,"about_ca_topic_score_gemma":0.033134583,"teacher_disagreement_score":0.008368629,"about_ca_system_score_codex":0.002621375,"about_ca_system_score_gemma":0.0045320806,"threshold_uncertainty_score":0.019019425},"labels":[],"label_agreement":null},{"id":"W7138873148","doi":"10.66352/ajms.v3i1.3","title":"Benchmarking Of Malaysia Maritime Education And Training Institute’s Performance In 2018","year":2022,"lang":"","type":"article","venue":"ALAM Journal of Maritime Studies","topic":"Efficiency Analysis Using DEA","field":"Decision Sciences","cited_by":0,"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":"Benchmarking; Metis; Training (meteorology); Maritime industry; Frontier; Order (exchange)","score_opus":0.06702714829247715,"score_gpt":0.3506127309856398,"score_spread":0.28358558269316264,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7138873148","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.987097,0.00022963823,0.0010411572,0.0001704048,0.000016530028,0.000028245218,0.0009628051,0.000044106313,0.010410143],"genre_scores_gemma":[0.99703467,0.00010201034,0.00053579523,0.000010232001,0.0000043285286,0.000014831372,0.000562915,0.0000052194405,0.0017300254],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998323,0.00035421425,0.00014344214,0.00015031287,0.0006150245,0.00041399302],"domain_scores_gemma":[0.9968041,0.0004878427,0.0009424468,0.00017470977,0.001161561,0.00042934704],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022686094,0.00027711055,0.00023074639,0.0014000062,0.00029220825,0.0013435034,0.00041281464,0.00024374662,0.0011796863],"category_scores_gemma":[0.004637468,0.00008065485,0.0002099151,0.0021272344,0.00023134823,0.0007489324,0.0007554283,0.00032767205,0.0005486222],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00061653834,0.00036384226,0.7771113,0.00031109713,0.00011477698,0.00030350653,0.0018839408,0.05101028,0.003408194,0.0036671443,0.004991408,0.15621808],"study_design_scores_gemma":[0.0000067597152,0.00051343173,0.9742467,0.00006603344,0.000020859308,0.0001098314,0.0026151028,0.011764659,0.0029575925,0.00023725395,0.007432834,0.000029000497],"about_ca_topic_score_codex":0.00782458,"about_ca_topic_score_gemma":0.009776034,"teacher_disagreement_score":0.00782458,"about_ca_system_score_codex":0.0023548063,"about_ca_system_score_gemma":0.0015485892,"threshold_uncertainty_score":0},"labels":[{"model":"gpt","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"high"},{"model":"opus","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"medium"}],"label_agreement":"agree"}]}