{"id":"W6955142405","doi":"10.57745/luu95c","title":"SuppFig.S11A.tab","year":2023,"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","research_integrity","insufficient_payload"],"category_scores_codex":[0.009955486,0.001367135,0.001565911,0.0005978119,0.0002360789,0.0003617942,0.01331588,0.003426327,0.0009711771],"category_scores_gemma":[0.01519257,0.001434143,0.0002197519,0.003549649,0.0003824571,0.001090888,0.004977426,0.007142649,0.5464635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009578353,"about_ca_system_score_gemma":0.001235995,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008651149,"about_ca_topic_score_gemma":0.004312823,"domain_scores_codex":[0.9896379,0.002518908,0.001197799,0.003309353,0.00162491,0.001711131],"domain_scores_gemma":[0.9783148,0.003217374,0.0007956075,0.01695651,0.0002673739,0.0004483654],"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":[0.00005250442,0.0001775966,0.00001452388,0.0006240505,0.0002774029,0.0002551209,0.00002071348,0.000004938212,0.00009865482,0.000003836969,0.9962516,0.002219063],"study_design_scores_gemma":[0.0006903185,0.00004034386,0.0002167386,0.0006099887,0.000314998,0.00003884722,0.00002723278,0.0001424041,0.00005821356,0.0002118353,0.9961191,0.001529949],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000006504081,0.002792731,0.00005051736,0.0003525689,0.00267757,0.0009735461,0.9917397,0.00118706,0.0002198018],"genre_scores_gemma":[1.375844e-7,0.006208111,0.003441669,0.0005077244,0.002537423,0.0001928417,0.9784065,0.0006575395,0.008047999],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5454924,"threshold_uncertainty_score":0.9999421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5659508495174567,"score_gpt":0.4798732273785494,"score_spread":0.0860776221389073,"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."}}