{"id":"W3037632145","doi":"10.1017/s0033291720002032","title":"Refining our understanding of depressive states and state transitions in response to cognitive behavioural therapy using latent Markov modelling","year":2020,"lang":"en","type":"article","venue":"Psychological Medicine","topic":"Mental Health Research Topics","field":"Psychology","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Cognition; Depression (economics); Depressive symptoms; Cognitive therapy; Cognitive behavioral therapy; State (computer science); Markov model","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":[0.0008457419,0.000160508,0.0003719825,0.0001877047,0.00007974324,0.000007321372,0.0001099599,0.00009168921,0.0001810895],"category_scores_gemma":[0.000152444,0.000123596,0.00002812183,0.0003969011,0.0001505819,0.00004780441,0.00003244116,0.0004234272,0.000004625813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008714905,"about_ca_system_score_gemma":0.000009541556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003441777,"about_ca_topic_score_gemma":0.00002007252,"domain_scores_codex":[0.9976848,0.0006746395,0.0004888021,0.0004438706,0.0002782461,0.0004295937],"domain_scores_gemma":[0.9989495,0.0003970836,0.000100707,0.0001193762,0.00005587788,0.0003774129],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.1896634,0.002884376,0.1823783,0.0004406796,0.0004587409,0.003904261,0.355671,0.006348003,0.08267913,0.002135849,0.0009559086,0.1724803],"study_design_scores_gemma":[0.0471749,0.0334867,0.7029427,0.003822256,0.0001473615,0.000236149,0.1627277,0.03837364,0.0007822207,0.008788344,0.00007916745,0.001438882],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9524391,0.0005558215,0.03026665,0.01586352,0.0001153621,0.0004755952,0.00004913664,0.00002596471,0.0002088042],"genre_scores_gemma":[0.9963576,0.0001517533,0.001109552,0.002248147,0.00004216548,0.00003566534,0.00001122843,0.00001779004,0.00002610275],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5205644,"threshold_uncertainty_score":0.5040098,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5309652724122722,"score_gpt":0.5085347454862302,"score_spread":0.02243052692604197,"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."}}