{"id":"W4398980993","doi":"10.7910/dvn/tlahpx/wgtnva","title":"ddAle_Ott_20140710_11107000.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":[0.001259566,0.002965573,0.002147732,0.005725217,0.001179831,0.004682036,0.00360392,0.002946715,0.340824],"category_scores_gemma":[0.0095587,0.001084187,0.001514011,0.008703765,0.0007400379,0.002693835,0.003112927,0.001952685,0.3818416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002307796,"about_ca_system_score_gemma":0.002713931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03823255,"about_ca_topic_score_gemma":0.0510574,"domain_scores_codex":[0.9987704,0.0001953067,0.0001071491,0.0004035833,0.0002438897,0.0002796145],"domain_scores_gemma":[0.9967247,0.0009463831,0.0003265704,0.0007991793,0.0008036864,0.0003995732],"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":[0.000025679,0.000004397807,0.0001864057,0.0002779661,0.00001325382,0.000005417723,0.000008415489,0.00009048935,0.00002799369,0.0003316779,0.9983359,0.0006924334],"study_design_scores_gemma":[0.0001892643,0.00001299687,0.00153154,0.0003281529,0.00002310656,0.00002593259,0.0000498602,0.0002340622,0.0001964362,0.001685371,0.99569,0.00003327423],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002398713,0.00004405266,0.00002415063,0.00006796014,0.00002444634,0.000002419553,0.9989038,0.0003281848,0.0005809877],"genre_scores_gemma":[0.0002813083,0.00006819695,0.0001246757,0.00008855144,0.00001878708,0.00003301083,0.9979655,0.000240934,0.00117909],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.659176,"threshold_uncertainty_score":0.9402346,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02430225019971765,"score_gpt":0.2489469377863906,"score_spread":0.2246446875866729,"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."}}