{"id":"W6958469702","doi":"10.6084/m9.figshare.21080580","title":"Additional file 2 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":"Data Visualization and Analytics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier de l’Université de Montréal","funders":"","keywords":"Haplogroup; Mitochondrial DNA; Human mitochondrial DNA haplogroup; Haplotype; Single-nucleotide polymorphism; Population; Gene; DNA sequencing","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00002358954,0.0001011609,0.0001666448,0.0001475297,0.0001393882,0.00005695069,0.000225739,0.00003987312,0.3285783],"category_scores_gemma":[0.0007608763,0.0001096656,0.00008180678,0.000281721,0.00003690318,0.0004420232,0.0002469938,0.00006704745,0.000003051571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001793467,"about_ca_system_score_gemma":0.0000692242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001573339,"about_ca_topic_score_gemma":0.000005047648,"domain_scores_codex":[0.9989712,0.00007401565,0.0002933996,0.0002284476,0.0003008393,0.0001320537],"domain_scores_gemma":[0.9988924,0.0004327775,0.0003021233,0.0001625932,0.0001541742,0.00005595484],"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":[0.0001195695,0.00009592758,0.0002453088,0.000201471,0.0001036205,0.000004678519,0.0004291481,0.0001083117,0.005355726,0.00009781378,0.9645692,0.0286693],"study_design_scores_gemma":[0.003362309,0.004829658,0.007062803,0.001808885,0.00005055213,0.0000471127,0.0003269355,0.3291337,0.005553023,0.0001801136,0.6471257,0.0005192672],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.005396003,0.0000794846,0.00005872053,0.00001762996,0.0000722198,0.0002501646,0.9940648,0.00003939753,0.0000215557],"genre_scores_gemma":[0.03711928,0.00000115522,0.006747488,0.00003020294,0.00006985124,0.0002707005,0.9555607,0.00001965337,0.0001809672],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3290254,"threshold_uncertainty_score":0.6720355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03620917227051031,"score_gpt":0.2363111196431484,"score_spread":0.200101947372638,"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."}}