{"id":"W6931691868","doi":"10.5683/sp3/qydedh","title":"qF3 Analysis Code","year":2022,"lang":"en","type":"dataset","venue":"Borealis","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Replicate; Software; Protocol (science); Code (set theory); MATLAB; Measure (data warehouse); Data file","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":[0.005315209,0.003418227,0.003183319,0.004015675,0.002841624,0.00493915,0.005360374,0.002432663,0.5101795],"category_scores_gemma":[0.01662487,0.00215388,0.003370419,0.003140717,0.001169404,0.003471785,0.003461162,0.00410036,0.379496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002377407,"about_ca_system_score_gemma":0.005436361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008704395,"about_ca_topic_score_gemma":0.009864152,"domain_scores_codex":[0.9967326,0.0004592181,0.0003010764,0.001103784,0.00109359,0.0003096906],"domain_scores_gemma":[0.9948673,0.001879182,0.0002922951,0.0009487219,0.001749409,0.0002629272],"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":[0.0003451532,0.00005391043,0.001446049,0.001290241,0.0001209458,0.000147095,0.0001636609,0.00152088,0.0044377,0.003403408,0.951991,0.03507984],"study_design_scores_gemma":[0.0003164635,0.00008451006,0.002656853,0.0004756074,0.0001286292,0.0003318258,0.0001675311,0.007461224,0.0109474,0.01769254,0.9595472,0.0001902519],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001747983,0.000596688,0.1296034,0.001385309,0.001097835,0.00103928,0.5292979,0.3068786,0.02835291],"genre_scores_gemma":[0.0118333,0.0007141862,0.1682499,0.003720442,0.0002722302,0.006839443,0.5274539,0.2187457,0.06217077],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5101795,"threshold_uncertainty_score":0.6986694,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01259924255248616,"score_gpt":0.2557584725519713,"score_spread":0.2431592299994852,"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."}}