{"id":"W6922414620","doi":"10.1192/j.eurpsy.2023.1072","title":"Predictors of adherence to electronic self-monitoring in patients with bipolar disorder: a contactless study using Growth Mixture Models","year":2023,"lang":"en","type":"article","venue":"PubMed Central","topic":"Urban and spatial planning","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University; University of Toronto","funders":"","keywords":"Logistic regression; Socioeconomic status; Multinomial logistic regression; Bipolar disorder; Mixture model; Mental health","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":[],"consensus_categories":[],"category_scores_codex":[0.0002022714,0.0001433201,0.0001768663,0.00007769318,0.00006088958,0.00002003728,0.0002088596,0.00004084588,0.00001098573],"category_scores_gemma":[0.00001889068,0.0001237912,0.00002301542,0.0006711483,0.00002289401,0.0002591817,0.0001044476,0.000156844,0.000005552978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004263858,"about_ca_system_score_gemma":0.00002847262,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001998798,"about_ca_topic_score_gemma":0.0009135991,"domain_scores_codex":[0.9979602,0.00005055652,0.00019485,0.0002871668,0.0004131582,0.001094047],"domain_scores_gemma":[0.9995736,0.00001931712,0.00006347759,0.0001329004,0.000007958673,0.0002026892],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007276632,0.000264754,0.9842184,0.000006427296,0.00002308245,0.000003651572,0.003806833,0.01091029,0.00004842631,0.000004354115,0.00001129136,0.0006296937],"study_design_scores_gemma":[0.0008224924,0.0002935068,0.9959211,0.00001730487,0.00001874468,1.435642e-7,0.0002990011,0.002321708,0.0001197878,0.0000134586,0.00002982139,0.0001428712],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987032,0.00002635,0.0001106891,0.000005452658,0.0001640783,0.0008817804,0.000009988039,0.00005759851,0.00004082308],"genre_scores_gemma":[0.9997928,0.000005195435,0.00006769435,0.000006177324,0.00003354192,0.00005555568,0.000005777947,0.00001763846,0.00001567972],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01170272,"threshold_uncertainty_score":0.5048057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0106935109995723,"score_gpt":0.1989846519565982,"score_spread":0.1882911409570259,"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."}}