{"id":"W7069194611","doi":"","title":"English Report","year":2003,"lang":"en","type":"article","venue":"Érudit (Université de Montréal)","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Exhibition; Painting; Subject (documents); Irish; Event (particle physics); SAINT; The Imaginary","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":[],"consensus_categories":[],"category_scores_codex":[0.0001817409,0.0001127674,0.00009618159,0.00003836801,0.0001633666,0.000008086163,0.0001409285,0.0001260266,0.00008228925],"category_scores_gemma":[0.0002796712,0.0001244609,0.00007796245,0.00008112626,0.00003282256,0.000004215328,0.0001022314,0.00009854353,0.00003406138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003430853,"about_ca_system_score_gemma":0.00003497719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008614159,"about_ca_topic_score_gemma":0.0008760587,"domain_scores_codex":[0.9993359,0.00004162999,0.0001158929,0.0001785148,0.0001104312,0.0002176408],"domain_scores_gemma":[0.9993305,0.000008120057,0.00009875,0.0003869551,0.00007763173,0.00009809753],"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":[0.0002492114,0.0002126746,0.05787935,0.000104608,0.0004532744,0.003845334,0.001276899,0.002590523,0.06486286,0.03599464,0.8189376,0.01359304],"study_design_scores_gemma":[0.0003439072,0.00006419691,0.0005106572,0.000003283168,0.00001778339,0.0008469222,0.000152031,0.00009671559,0.007052154,0.0000564788,0.9907034,0.0001524794],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8142859,0.003371919,0.003806223,0.0008993244,0.0003439725,0.0001715875,0.000009783971,0.00008895593,0.1770223],"genre_scores_gemma":[0.8811768,0.0009261331,0.01018718,0.0005059869,0.000207293,0.000004664292,0.0001940192,0.00004278227,0.1067551],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1717658,"threshold_uncertainty_score":0.5075367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002531950639959423,"score_gpt":0.1633421761676744,"score_spread":0.1608102255277149,"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."}}