{"id":"W7070593973","doi":"","title":"Ontario chooses FP as CMA's president-elect","year":2003,"lang":"en","type":"article","venue":"Europe PMC (PubMed Central)","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"","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"],"consensus_categories":[],"category_scores_codex":[0.0003179118,0.0002804978,0.0001843076,0.00004606607,0.0001137179,0.00009874569,0.0003589688,0.0001260774,0.0004698561],"category_scores_gemma":[0.0009955355,0.0002561889,0.0001077385,0.0001484642,0.00006504229,0.00001117297,0.0001092619,0.0003073212,0.0002691103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007762506,"about_ca_system_score_gemma":0.0003249331,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005052438,"about_ca_topic_score_gemma":0.001240222,"domain_scores_codex":[0.997919,0.0001792024,0.0003323772,0.0003749579,0.0002564246,0.0009380988],"domain_scores_gemma":[0.9988747,0.00001637206,0.0001438993,0.0005752772,0.00007848021,0.0003113182],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004314237,0.0005980214,0.8121506,0.0002057483,0.0006761269,0.0001484336,0.007794064,0.0011229,0.04843697,0.004588956,0.1016926,0.02215415],"study_design_scores_gemma":[0.0005390118,0.0001364707,0.09337767,0.00001036018,0.00002784957,0.0000802672,0.00002323237,0.000009060174,0.06084163,0.00004358616,0.844598,0.0003128886],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8605363,0.0005116686,0.0004062429,0.0001375352,0.0005901022,0.0004160829,0.000005349876,0.00005191151,0.1373448],"genre_scores_gemma":[0.9471909,0.0002525828,0.001553852,0.0007847995,0.0002526848,0.00003998401,0.00008691614,0.00006013323,0.04977819],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7429054,"threshold_uncertainty_score":0.999989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007797076452290326,"score_gpt":0.2157330528827852,"score_spread":0.2079359764304948,"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."}}