{"id":"W4398405397","doi":"10.7910/dvn/bax2ui/w23n6e","title":"metadata.xml","year":2019,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Mobile and Web Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Metadata; XML; Computer science; Mashup; World Wide Web; Information retrieval; Web 2.0; Web service","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002488523,0.000301041,0.0003523447,0.0001786277,0.0001057715,0.0005219793,0.004427899,0.0002216026,0.005712233],"category_scores_gemma":[0.00004731609,0.000284591,0.0001258359,0.0003262619,0.00004508265,0.001341852,0.001903107,0.0003727867,0.4969913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004585106,"about_ca_system_score_gemma":0.0002252751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002246224,"about_ca_topic_score_gemma":0.00004093919,"domain_scores_codex":[0.9979889,0.00006249016,0.0003113218,0.0008611193,0.0004263989,0.0003497163],"domain_scores_gemma":[0.9933535,0.00009684424,0.0002069445,0.006130123,0.00006336707,0.0001491589],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001314797,0.00005505272,5.759091e-7,0.0000422857,0.00004204961,0.00001951615,0.000003643772,0.000004001598,0.00000816574,0.003460446,0.9957051,0.0006578321],"study_design_scores_gemma":[0.0001639351,0.00002161064,0.00000727527,0.00002047379,0.00005938999,0.0000159741,0.000002607434,0.0002297682,0.00002310419,0.0001129508,0.9990157,0.000327198],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[2.602685e-7,0.000001871158,0.04104198,0.00001861059,0.0007474755,0.0003887047,0.9572257,0.00008551653,0.0004899284],"genre_scores_gemma":[0.000001174082,0.0002845801,0.004658535,0.0009496851,0.0001787501,0.00009865491,0.9920914,0.00001207318,0.001725153],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.491279,"threshold_uncertainty_score":0.9999606,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02217217796298685,"score_gpt":0.2551298464375391,"score_spread":0.2329576684745522,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}