{"id":"W6936199009","doi":"10.57745/bamewx/if5knb","title":"180911_BM_BEN_A_B13_rbcL.h5","year":2022,"lang":"en","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","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","open_science","research_integrity","insufficient_payload"],"category_scores_codex":[0.011593,0.001409543,0.00157117,0.0005745981,0.000488179,0.0003028351,0.01715251,0.00209128,0.1908873],"category_scores_gemma":[0.008676175,0.001574068,0.0002520219,0.003011308,0.000354711,0.001011334,0.008641209,0.01075015,0.04579498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001709994,"about_ca_system_score_gemma":0.001535499,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003319812,"about_ca_topic_score_gemma":0.001053196,"domain_scores_codex":[0.9867318,0.004642547,0.001275792,0.003606664,0.002174704,0.001568551],"domain_scores_gemma":[0.9766234,0.002358535,0.001124992,0.01926868,0.0001812329,0.0004431812],"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":[0.00008677885,0.0004206614,0.00001124132,0.0004017601,0.0002905376,0.0002296346,0.00003304015,0.00001073006,0.00006382758,0.00001143723,0.9944366,0.004003816],"study_design_scores_gemma":[0.0007714586,0.00007413016,0.00004540643,0.0001481667,0.0003686168,0.00008869831,0.00005070667,0.0000866296,0.00002132542,0.0001778061,0.9964626,0.001704402],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000005507279,0.006726618,0.00004690107,0.0002531293,0.002169332,0.0010904,0.9881246,0.0005616065,0.001021921],"genre_scores_gemma":[2.6174e-7,0.004149979,0.003481748,0.001142623,0.001008125,0.0003722844,0.9842513,0.000483691,0.005109962],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1450924,"threshold_uncertainty_score":0.9998655,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4839922709613789,"score_gpt":0.4584165002992932,"score_spread":0.02557577066208577,"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."}}