{"id":"W3136948906","doi":"10.1177/0706743721998044","title":"Precision Psychiatry: The Future Is Now","year":2021,"lang":"en","type":"article","venue":"The Canadian Journal of Psychiatry","topic":"Machine Learning in Healthcare","field":"Computer Science","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Psychiatry; Psychology; MEDLINE; Medicine; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001112806,0.0001613499,0.0001913434,0.0001316246,0.0009460103,0.0003951777,0.002396196,0.0001145148,0.0002377385],"category_scores_gemma":[0.00007408512,0.00009171884,0.0002136953,0.0007628386,0.00007638114,0.0002113875,0.00007119861,0.001243361,0.00006858251],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001027807,"about_ca_system_score_gemma":0.01012021,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002059262,"about_ca_topic_score_gemma":0.4599447,"domain_scores_codex":[0.9979858,0.000438964,0.00046411,0.0002200877,0.0004758638,0.0004151828],"domain_scores_gemma":[0.9975417,0.00009645283,0.0003868431,0.001096863,0.0003870827,0.0004910031],"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":[0.00001036851,0.00002444285,0.1716802,0.00003857822,0.00007993636,0.00005554649,0.002621013,0.0002837085,0.000002117743,0.2705432,0.5295121,0.02514881],"study_design_scores_gemma":[0.0005321158,0.0002210256,0.1511744,0.0002616648,0.00004863333,0.002977927,0.001109242,0.001888666,0.00001378621,0.2277596,0.6136919,0.0003209826],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01307439,0.01982308,0.003557828,0.9381751,0.02332141,0.0001164551,0.000007898375,0.00001737382,0.001906402],"genre_scores_gemma":[0.6673592,0.0004764543,0.2139793,0.09568005,0.0192567,0.000007900411,0.000003860046,0.00009591712,0.00314063],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.8424951,"threshold_uncertainty_score":0.9954915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01005909971537123,"score_gpt":0.2659373198061804,"score_spread":0.2558782200908092,"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."}}