{"id":"W6917374149","doi":"10.57745/hmo1e9","title":"MLUCI.20210421.recipeA.statistics_per_gene.xls","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002451113,0.004651207,0.003879531,0.004526104,0.001988452,0.004428079,0.005753565,0.004431183,0.3046636],"category_scores_gemma":[0.009999739,0.00231035,0.003068237,0.005967766,0.0009410891,0.002693093,0.002685312,0.003273396,0.3494775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002188346,"about_ca_system_score_gemma":0.002834706,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01389899,"about_ca_topic_score_gemma":0.02084236,"domain_scores_codex":[0.9982882,0.0003458789,0.000137085,0.0006636059,0.000301672,0.0002635705],"domain_scores_gemma":[0.9962297,0.001899211,0.0002035262,0.0008947786,0.0005287922,0.0002439002],"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":[0.00008365596,0.00002605415,0.0005386307,0.0009777948,0.00005522486,0.00001784884,0.00003564881,0.0003877697,0.0003013047,0.000613336,0.9946252,0.002337559],"study_design_scores_gemma":[0.0007012264,0.00004600264,0.002999576,0.0003660206,0.00008458793,0.00008171659,0.00007107633,0.0009971014,0.001902648,0.004074388,0.9885777,0.0000979984],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000931976,0.00007802882,0.0002874877,0.00005638635,0.00003821329,0.00001314695,0.995353,0.003513625,0.0005668445],"genre_scores_gemma":[0.0005215539,0.00006416687,0.001426599,0.0001070541,0.00001722,0.0001943857,0.9946525,0.001988902,0.001027554],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6953365,"threshold_uncertainty_score":0.991813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5560435539022002,"score_gpt":0.4825374001169571,"score_spread":0.07350615378524311,"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."}}