{"id":"W4398839905","doi":"10.7910/dvn/sczu92/lokvjh","title":"maternitylv_5Feb2019DTAversion.tab","year":2019,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Biology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001048454,0.002342262,0.001708403,0.004662303,0.0009700134,0.003423024,0.003208176,0.002902182,0.2662987],"category_scores_gemma":[0.00852847,0.001018721,0.001525117,0.007798392,0.0005571566,0.00181672,0.002501301,0.001874419,0.2260978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0017652,"about_ca_system_score_gemma":0.002556951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02850788,"about_ca_topic_score_gemma":0.04545458,"domain_scores_codex":[0.9991189,0.0001463038,0.0001008687,0.0002836052,0.0001597303,0.0001905743],"domain_scores_gemma":[0.9968511,0.001230134,0.0002945563,0.0006653806,0.0005940999,0.0003646819],"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":[0.00004560441,0.000008404932,0.0004015566,0.0005257728,0.00002118166,0.00001329312,0.00001341338,0.0001293467,0.00005526192,0.000390105,0.9972927,0.001103287],"study_design_scores_gemma":[0.0003463774,0.00001865923,0.002411031,0.0004352794,0.00003901009,0.0000596305,0.00005480541,0.0003088721,0.0002810358,0.001577262,0.994433,0.00003513428],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004484962,0.00005280623,0.00003186016,0.000074098,0.00001946366,0.000003622215,0.99889,0.0003243667,0.0005589518],"genre_scores_gemma":[0.0003666592,0.000083575,0.0001525908,0.0001177814,0.00001357596,0.00003953881,0.9980876,0.0001935974,0.0009450846],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7337013,"threshold_uncertainty_score":0.8908578,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02356428874508558,"score_gpt":0.2577621222798336,"score_spread":0.234197833534748,"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."}}