{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004111374,0.0007378268,0.0008214648,0.00008319773,0.0003056537,0.0001545998,0.001072253,0.001355855,0.5879046],"category_scores_gemma":[0.0002565851,0.0007939549,0.0006857688,0.00000738918,0.0005257353,6.669419e-8,0.0004445692,0.000350925,0.03224225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009006451,"about_ca_system_score_gemma":0.0001687087,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002101813,"about_ca_topic_score_gemma":0.004813214,"domain_scores_codex":[0.997197,0.0001780082,0.0009069626,0.0005540879,0.0004991422,0.0006647429],"domain_scores_gemma":[0.9960155,0.00004296584,0.001537817,0.001661448,0.0004391563,0.000303115],"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":[0.0001584673,0.00007656237,0.00001980022,0.0004634344,0.0005927134,0.00003143228,0.00004981445,0.001876043,0.00002717997,0.00001634882,0.9837797,0.01290856],"study_design_scores_gemma":[0.0007299035,0.0003104622,0.00007752164,0.0002621172,0.0004213018,0.0001517869,0.00003420012,0.00009640473,0.0003319139,0.000007123313,0.9967758,0.0008014611],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005944729,0.005643481,0.000002600446,0.0003350912,0.0006452071,0.0004456997,0.0001730052,0.0000316096,0.9921288],"genre_scores_gemma":[0.00607881,0.002595468,0.0007507043,0.0002176657,0.0009869882,0.00001908737,0.0009998885,0.0001303515,0.988221],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5556624,"threshold_uncertainty_score":0.9999406,"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."}}