{"id":"W4238478970","doi":"10.31525/ct1-nct04162522","title":"Canadian Biomarker Integration Network for Depression (CAN-BIND) - Validation Study","year":2019,"lang":"en","type":"article","venue":"Case Medical Research","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Biomarker; Depression (economics); Computational biology; Psychology; Biology; Genetics; Economics","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":[0.002720441,0.00009625909,0.000110632,0.00008549914,0.0002206288,0.00005605823,0.0002004599,0.0002701491,0.0002665968],"category_scores_gemma":[0.0005120658,0.00007814204,0.00004882007,0.0001700156,0.00005161542,0.000004075114,0.0001105465,0.0002494449,0.00003843985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006961173,"about_ca_system_score_gemma":0.0005627311,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01018288,"about_ca_topic_score_gemma":0.07724962,"domain_scores_codex":[0.9984461,0.0001683995,0.0002273537,0.000269267,0.0004022814,0.0004865754],"domain_scores_gemma":[0.9988619,0.0001079792,0.00003340328,0.000346837,0.000218615,0.0004312574],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005179658,0.0002725177,0.03050353,0.00009744611,0.0001884803,0.0003719368,0.0005314697,0.0002172158,0.007216867,0.0005400788,0.192676,0.7668665],"study_design_scores_gemma":[0.01010954,0.005204991,0.009478758,0.0004268784,0.00008551034,0.001297282,0.007216819,0.1708565,0.01394733,0.003480541,0.7764314,0.001464401],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920506,0.0002075335,0.003821827,0.0005418454,0.0003409695,0.001227531,0.00002413644,0.000005773866,0.00177974],"genre_scores_gemma":[0.9977661,0.00002880389,0.0002296359,0.0001954386,0.000405558,0.0001044103,0.0004232174,0.00001654155,0.0008303236],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7654021,"threshold_uncertainty_score":0.9964084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04206719302159629,"score_gpt":0.3685513645322734,"score_spread":0.3264841715106771,"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."}}