{"id":"W6955027101","doi":"10.57745/tyjvi0","title":"Desbiez-Piat_2023_DataVerse.zip","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":"Raw data; Selection (genetic algorithm); Data set; Genotyping; Period (music)","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":[0.001100237,0.001543582,0.001185175,0.002735836,0.0007789295,0.002473227,0.002340249,0.001491918,0.2250355],"category_scores_gemma":[0.006604315,0.0008874426,0.00101671,0.006075659,0.0003427027,0.001521038,0.001788504,0.001560254,0.268244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002059881,"about_ca_system_score_gemma":0.002425933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03994448,"about_ca_topic_score_gemma":0.04925925,"domain_scores_codex":[0.9990211,0.0001578404,0.00009059153,0.0003282493,0.0002374595,0.0001648091],"domain_scores_gemma":[0.997329,0.0007472587,0.0002437694,0.0007435483,0.0007130644,0.0002233121],"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":[0.00004278909,0.0000101776,0.0006090009,0.0002596662,0.00001420922,0.000008742515,0.00001807107,0.0001715626,0.00006867621,0.000433134,0.9966027,0.001761242],"study_design_scores_gemma":[0.0001485259,0.000008610525,0.003232028,0.0001737735,0.00001226171,0.00002383658,0.00004347918,0.0002583061,0.000244557,0.0008384297,0.994998,0.00001810084],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004190648,0.00001521702,0.0000370552,0.00002357507,0.000007565691,0.000004053281,0.9989806,0.000260886,0.0006292156],"genre_scores_gemma":[0.0003352034,0.0000280105,0.0002179223,0.00003569021,0.000004584792,0.00005271725,0.9981287,0.0001786138,0.00101861],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7749645,"threshold_uncertainty_score":0.7528188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5713690198490774,"score_gpt":0.4687155565339536,"score_spread":0.1026534633151238,"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."}}