{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","sts","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","open_science","research_integrity","insufficient_payload"],"category_scores_codex":[0.0247901,0.003031279,0.003144833,0.0008407533,0.001470361,0.0007629519,0.0311444,0.004469471,0.3976494],"category_scores_gemma":[0.01740002,0.003774798,0.0005841615,0.006632061,0.001364685,0.002684673,0.02213717,0.02236999,0.1669977],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005633797,"about_ca_system_score_gemma":0.003746324,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007998575,"about_ca_topic_score_gemma":0.002526437,"domain_scores_codex":[0.9654832,0.01721727,0.002855638,0.007072293,0.003706535,0.003665058],"domain_scores_gemma":[0.9562632,0.008291181,0.002314919,0.03152984,0.0004444364,0.001156462],"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":[0.0002794273,0.001872997,0.0001234065,0.001638788,0.0009795248,0.0008497661,0.0001950821,0.0001328681,0.0002819839,0.0001712175,0.967531,0.02594388],"study_design_scores_gemma":[0.00189235,0.0002869383,0.0001485006,0.0007285245,0.001302931,0.0004017301,0.0002563676,0.001831881,0.00008581112,0.0004759882,0.9888057,0.003783261],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005096731,0.05460337,0.0003101373,0.001777908,0.007966074,0.002171379,0.9304299,0.0005878787,0.002102379],"genre_scores_gemma":[0.000002151431,0.02030718,0.01411789,0.00190355,0.002562948,0.0005540529,0.9287527,0.001103784,0.0306957],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2306516,"threshold_uncertainty_score":0.9998296,"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."}}