{"id":"W6936034050","doi":"10.57745/bamewx/xzaerg","title":"190204_PM_PEL_Com_f20_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":[0.01160963,0.001431437,0.001610227,0.000583154,0.0005167887,0.0003114429,0.01847977,0.002000954,0.1637578],"category_scores_gemma":[0.008764509,0.001599999,0.0002623873,0.003019428,0.0003624272,0.001001426,0.009824798,0.01137234,0.03557813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00176485,"about_ca_system_score_gemma":0.001590482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004101132,"about_ca_topic_score_gemma":0.001149176,"domain_scores_codex":[0.9863222,0.005099067,0.001277838,0.003549136,0.002187212,0.001564499],"domain_scores_gemma":[0.9757506,0.002603533,0.001108577,0.019912,0.0001889415,0.0004363032],"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":[0.00009660165,0.0004209575,0.00001004991,0.0004167588,0.0002832054,0.0002336169,0.00003167779,0.00001494253,0.00005031521,0.000008044929,0.9946223,0.003811502],"study_design_scores_gemma":[0.0007916428,0.00008572919,0.00002612613,0.0001378989,0.0003791993,0.00009372892,0.00003882334,0.0001116565,0.00001759615,0.0002218743,0.9963808,0.001714918],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000003748167,0.007731057,0.00006093373,0.0002915687,0.002148989,0.001063987,0.9872982,0.000597133,0.000804381],"genre_scores_gemma":[1.96792e-7,0.004197,0.003278891,0.001226,0.001025454,0.0003397667,0.9848753,0.0004628386,0.004594605],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1281796,"threshold_uncertainty_score":0.9998435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4696968985634294,"score_gpt":0.4503008639792378,"score_spread":0.01939603458419165,"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."}}