{"id":"W4398860151","doi":"10.7910/dvn/tlahpx/8ghhzt","title":"ddAle_Ott_20170222_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":[0.001270255,0.003080753,0.002257789,0.005463126,0.001295545,0.004799784,0.003864342,0.003111992,0.348359],"category_scores_gemma":[0.009634322,0.001073816,0.001549874,0.008193825,0.0007873061,0.002690007,0.003315782,0.002028977,0.406314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002331431,"about_ca_system_score_gemma":0.00270748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03610744,"about_ca_topic_score_gemma":0.05152015,"domain_scores_codex":[0.9987587,0.0002064618,0.0001018271,0.0004196097,0.0002371892,0.0002762738],"domain_scores_gemma":[0.9968465,0.0009198406,0.000302714,0.0007643943,0.0007688104,0.0003977666],"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":[0.00002565558,0.00000449976,0.000174436,0.0002905538,0.000012874,0.000005557983,0.000008526944,0.00008455847,0.0000277768,0.0003008269,0.9983771,0.0006875258],"study_design_scores_gemma":[0.0002010226,0.00001400174,0.001404415,0.0003463443,0.00002412692,0.00002876479,0.00005194152,0.0002370038,0.0001930546,0.001723327,0.995743,0.00003297664],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000250259,0.00005401529,0.00002572602,0.00007454529,0.00002783047,0.000002708949,0.9988439,0.0003425055,0.0006037452],"genre_scores_gemma":[0.0002741995,0.0000743216,0.0001278119,0.00009708462,0.00002073669,0.00003570849,0.9979478,0.0002277023,0.001194706],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.651641,"threshold_uncertainty_score":0.9294869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02671567046327245,"score_gpt":0.253859339188895,"score_spread":0.2271436687256226,"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."}}