{"id":"W4393641350","doi":"10.5281/zenodo.1098450","title":"Metannotate_Databases","year":2017,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Database; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001137517,0.002383402,0.001248225,0.003661687,0.0007970971,0.002448535,0.003214441,0.001751816,0.02920932],"category_scores_gemma":[0.00547294,0.0005875842,0.001443031,0.006367706,0.0005047339,0.001768366,0.002094175,0.001929649,0.04106757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001733124,"about_ca_system_score_gemma":0.002889118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01518887,"about_ca_topic_score_gemma":0.02716525,"domain_scores_codex":[0.9984239,0.0002553786,0.0002183213,0.0004082531,0.0004810843,0.0002130326],"domain_scores_gemma":[0.997973,0.0005370143,0.0001889321,0.0005488332,0.0005269226,0.0002253492],"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":[0.0001139548,0.0000421519,0.0009356608,0.0004954571,0.00004092737,0.00003915975,0.00002581175,0.0007306917,0.000324675,0.001028563,0.9926548,0.003568168],"study_design_scores_gemma":[0.0002721384,0.00003339214,0.00289211,0.00019817,0.00004010176,0.0001369483,0.0001190459,0.002106602,0.001364194,0.002575837,0.9902177,0.00004382814],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007114471,0.0001284128,0.0002469393,0.0001274504,0.00005833559,0.00002367142,0.9959989,0.001508353,0.001196578],"genre_scores_gemma":[0.0008215284,0.00006134486,0.0004275785,0.000041723,0.000006213078,0.00005295995,0.9981091,0.0001144687,0.0003650739],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02920932,"threshold_uncertainty_score":0.0977149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2294600226003405,"score_gpt":0.3949083340899951,"score_spread":0.1654483114896546,"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."}}