{"id":"W4398941639","doi":"10.7910/dvn/tlahpx/akogul","title":"ddAle_Ott_20160422_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":"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":["insufficient_payload"],"category_scores_codex":[0.00117935,0.003380863,0.002289926,0.005126121,0.00127132,0.004553528,0.003984773,0.003236325,0.3221176],"category_scores_gemma":[0.008602484,0.001076339,0.001573535,0.00750734,0.0008294632,0.002632147,0.00316922,0.002020566,0.4075132],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002289544,"about_ca_system_score_gemma":0.002650115,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03658424,"about_ca_topic_score_gemma":0.05292802,"domain_scores_codex":[0.9987906,0.0001927958,0.00009807749,0.0004158419,0.0002335102,0.0002692116],"domain_scores_gemma":[0.9971739,0.00077694,0.0002596523,0.0007121126,0.0007065712,0.0003708821],"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":[0.00002891686,0.000005084686,0.000162422,0.0002878623,0.00001245425,0.000006070201,0.00000864625,0.0000932348,0.0000351293,0.0002528728,0.9984339,0.0006733097],"study_design_scores_gemma":[0.0002369612,0.00001780881,0.00148911,0.0003236999,0.00002588519,0.00003341939,0.00005531085,0.000299816,0.0002530562,0.001736025,0.9954921,0.00003683155],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002972291,0.00005307689,0.00002568185,0.000070768,0.00002884615,0.000002931599,0.9988022,0.0004052579,0.0005815635],"genre_scores_gemma":[0.0002615954,0.00006305036,0.0001177611,0.00008219068,0.00001848434,0.0000310748,0.9981077,0.0002166167,0.001101511],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6778824,"threshold_uncertainty_score":0.966917,"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."}}