{"id":"W7011352372","doi":"","title":"70 - 536 - Mario Peluso, 2017 10 02","year":2017,"lang":"fr","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Gene Regulatory Network Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Innocence; Ridiculous; Nomination; Rivalry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004692911,0.0009782908,0.0003954424,0.0009460024,0.001917468,0.005046918,0.0007771827,0.002095703,0.8793923],"category_scores_gemma":[0.001210716,0.0004039187,0.0003971398,0.0008018084,0.0006430752,0.002149135,0.003458593,0.001911738,0.8647861],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001264959,"about_ca_system_score_gemma":0.001545424,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006148804,"about_ca_topic_score_gemma":0.01422762,"domain_scores_codex":[0.9996303,0.00003359517,0.00001610431,0.0001012827,0.0001408713,0.00007779634],"domain_scores_gemma":[0.9993027,0.00004954687,0.00002535943,0.00006807986,0.0002533578,0.000300914],"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":[0.00008324994,0.00006775354,0.0007783224,0.0002213183,0.000005144495,0.0002174893,0.0001466577,0.00004804244,0.001227515,0.003277997,0.8744796,0.119447],"study_design_scores_gemma":[0.000003240474,0.000006214893,0.0004190677,0.00007629966,8.91808e-7,0.00006163968,0.00007805008,0.00002083249,0.000065518,0.0001156623,0.9991504,0.000002221344],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005183439,0.0009949114,0.000229072,0.002250212,0.002571604,0.00008414382,0.0008673312,0.0005461427,0.9919382],"genre_scores_gemma":[0.0008815814,0.0004422463,0.00009258774,0.000277864,0.0001865429,0.0000248314,0.0002797089,0.0001486991,0.997666],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1206077,"threshold_uncertainty_score":0.1720322,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005741507053727166,"score_gpt":0.1900767760196655,"score_spread":0.1843352689659383,"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."}}