{"id":"W6939598474","doi":"10.6084/m9.figshare.21080592.v1","title":"Additional file 6 of Single nucleotide polymorphism genes and mitochondrial DNA haplogroups as biomarkers for early prediction of knee osteoarthritis structural progressors: use of supervised machine learning classifiers","year":2022,"lang":"en","type":"article","venue":"Figshare","topic":"Osteoarthritis Treatment and Mechanisms","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier de l’Université de Montréal","funders":"","keywords":"Single-nucleotide polymorphism; Osteoarthritis; Mitochondrial DNA; Gene; Haplogroup; Sample (material); Supervised learning; Pattern recognition (psychology)","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":[0.002153442,0.001260416,0.001616023,0.002421088,0.0008674436,0.001740394,0.002230573,0.001450689,0.8722281],"category_scores_gemma":[0.03740417,0.0006550889,0.001232195,0.00318786,0.0002911851,0.001565295,0.0009489232,0.001084892,0.1735806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008381655,"about_ca_system_score_gemma":0.001560016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006478176,"about_ca_topic_score_gemma":0.01217052,"domain_scores_codex":[0.9992298,0.000147542,0.0001545548,0.0002157542,0.0001546514,0.0000978516],"domain_scores_gemma":[0.9712709,0.02287343,0.001103407,0.001396988,0.002862333,0.0004929373],"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":[0.0007999293,0.0001966355,0.005221236,0.003731531,0.0001090063,0.0001462053,0.00007790465,0.0007994809,0.0002219157,0.0005181174,0.9718184,0.01635979],"study_design_scores_gemma":[0.01947367,0.001156596,0.09369596,0.007505791,0.0008479971,0.001677267,0.0009627246,0.01009143,0.003401609,0.02239632,0.8382728,0.0005177908],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0003237879,0.00002302127,0.0004095685,0.00009761919,0.00002976413,0.00007969436,0.9981921,0.0004098726,0.000434537],"genre_scores_gemma":[0.01419573,0.0001742149,0.007202885,0.0005247446,0.0001534935,0.002347209,0.9650994,0.001165788,0.009136661],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8722281,"threshold_uncertainty_score":0.182251,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03018416531060116,"score_gpt":0.2227792268282732,"score_spread":0.192595061517672,"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."}}