{"id":"W2048347275","doi":"10.1590/s1413-81232013001000012","title":"Gaining Autonomy & Medication Management (GAM): new perspectives on well-being, quality of life and psychiatric medication","year":2013,"lang":"en","type":"article","venue":"Ciência & Saúde Coletiva","topic":"Schizophrenia research and treatment","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Medical prescription; Autonomy; Negotiation; General partnership; Quality of life (healthcare); Space (punctuation); Psychiatric medication; Control (management); Medicine; Psychiatry; Psychology; Nursing; Mental health; Sociology; Computer science; Political science","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":[0.0004689145,0.0001939958,0.0003569134,0.0002906685,0.0001099761,0.00002522947,0.0001334188,0.00009352288,0.0009675843],"category_scores_gemma":[0.0003788773,0.000161331,0.00008754677,0.0002990617,0.000143882,0.00008730091,0.00006638881,0.0002119591,0.0002920165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002631439,"about_ca_system_score_gemma":0.0005006631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003626014,"about_ca_topic_score_gemma":0.0000280905,"domain_scores_codex":[0.997968,0.0001342599,0.0004543355,0.0004579557,0.0006940446,0.0002914577],"domain_scores_gemma":[0.9983855,0.0001940833,0.0002308452,0.0005026085,0.0001463636,0.0005405757],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.005965314,0.002953809,0.340927,0.001130815,0.001812944,0.00001854427,0.01070946,0.000009364042,0.001656372,0.149707,0.06235705,0.4227523],"study_design_scores_gemma":[0.004882774,0.0003748038,0.9810227,0.0001552492,0.0001019061,0.000004121244,0.001699353,0.00008149643,0.0001899009,0.002947559,0.00837383,0.0001663013],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9260834,0.00200351,0.001897509,0.01864723,0.0001248427,0.001734458,0.000002972265,0.000106485,0.04939952],"genre_scores_gemma":[0.9884725,0.0008380408,0.008028637,0.0004266717,0.0002630664,0.0001623117,0.0000501776,0.00002155752,0.001737046],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6400957,"threshold_uncertainty_score":0.9999456,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0239617535811496,"score_gpt":0.3169861260685753,"score_spread":0.2930243724874257,"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."}}