{"id":"W6954900146","doi":"10.57745/bamewx/fmkv7d","title":"190521_BM_BEN_Com_B_rbcL.h5","year":2022,"lang":"fr","type":"dataset","venue":"Recherche Data Gouv France","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Nautical Research Society","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics)","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":[0.001687237,0.004154823,0.002337203,0.004617902,0.001875553,0.004106574,0.004513633,0.004553647,0.1704382],"category_scores_gemma":[0.009654424,0.001194607,0.001779842,0.006922426,0.0008657958,0.002490243,0.002545252,0.002671634,0.2811447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002906191,"about_ca_system_score_gemma":0.003448609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04992962,"about_ca_topic_score_gemma":0.06146002,"domain_scores_codex":[0.9980072,0.0004238024,0.000162076,0.0005837445,0.0004746074,0.0003486501],"domain_scores_gemma":[0.9963884,0.001068126,0.0002113466,0.001057508,0.0009188543,0.0003557558],"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":[0.00004949316,0.00001430395,0.0001622995,0.0002501237,0.00001414263,0.000008562713,0.00001182741,0.0001488517,0.00007313227,0.0003309094,0.9979929,0.0009434911],"study_design_scores_gemma":[0.0004321014,0.00002872969,0.002030229,0.0002132316,0.00002747966,0.00005742583,0.00009087537,0.0008647126,0.0005710376,0.001642798,0.9939978,0.00004352147],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.00009765758,0.00008062219,0.00007229974,0.0001222955,0.00003810852,0.00000846941,0.9976804,0.0009649412,0.0009350523],"genre_scores_gemma":[0.0002914646,0.00004743825,0.0002703397,0.00006455214,0.00001231571,0.00004096404,0.9982426,0.0001872028,0.0008431017],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8295618,"threshold_uncertainty_score":0.5701727,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4540783381727889,"score_gpt":0.440006819678273,"score_spread":0.01407151849451593,"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."}}