{"id":"W4399004424","doi":"10.7910/dvn/tlahpx/ffgrmv","title":"ddAle_Ott_20160405_14364400.mat","year":2020,"lang":"fr","type":"dataset","venue":"Harvard Dataverse","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001165958,0.003381499,0.002264198,0.005221027,0.001249897,0.00455167,0.003853829,0.003147291,0.314052],"category_scores_gemma":[0.008497034,0.001077982,0.001553979,0.007608119,0.0008232073,0.002651364,0.003120658,0.001981962,0.397532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002314131,"about_ca_system_score_gemma":0.002683226,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03800031,"about_ca_topic_score_gemma":0.05431454,"domain_scores_codex":[0.9987797,0.0001909593,0.0001004789,0.0004188327,0.0002407246,0.0002693142],"domain_scores_gemma":[0.9971274,0.0007821172,0.0002676645,0.0007252929,0.0007282633,0.0003692502],"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":[0.00002888896,0.000005007057,0.0001644919,0.0002842954,0.00001253905,0.000006101307,0.000008593823,0.00009428281,0.0000356831,0.0002549209,0.9984393,0.0006659225],"study_design_scores_gemma":[0.0002276455,0.0000172385,0.001528258,0.0003123983,0.00002541625,0.00003289982,0.00005422283,0.000295733,0.0002570422,0.001684154,0.995528,0.00003693161],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002959088,0.00005154386,0.00002523368,0.00006819906,0.00002846916,0.000002858586,0.998821,0.0004007895,0.0005723211],"genre_scores_gemma":[0.0002597533,0.00006139242,0.0001143532,0.0000779937,0.00001805879,0.00003005629,0.9981278,0.0002162553,0.001094286],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.685948,"threshold_uncertainty_score":0.9784215,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02454725491627512,"score_gpt":0.2498379815613699,"score_spread":0.2252907266450948,"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."}}