{"id":"W2012808659","doi":"10.1016/j.socscimed.2011.05.018","title":"‘Non-compliance’ as illness management: Hemodialysis patients’ descriptions of adversarial patient–clinician interactions","year":2011,"lang":"en","type":"article","venue":"Social Science & Medicine","topic":"Mental Health and Patient Involvement","field":"Health Professions","cited_by":57,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Adversarial system; Compliance (psychology); Hemodialysis; Intensive care medicine; Medicine; Disease management; Psychology; Disease; Political science; Psychiatry; Social psychology; Law; Pathology","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":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001106545,0.0001927645,0.0004098557,0.0003713419,0.002623919,0.000003894322,0.0004761953,0.00009237927,0.00260425],"category_scores_gemma":[0.0001097098,0.0001605254,0.00009624486,0.001355942,0.00103058,0.0003547204,0.0001780841,0.000372854,0.0002472094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000444305,"about_ca_system_score_gemma":0.000276054,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002733293,"about_ca_topic_score_gemma":0.0002030146,"domain_scores_codex":[0.9965069,0.0001950822,0.001107819,0.0004391443,0.0009760038,0.0007750037],"domain_scores_gemma":[0.9979889,0.0001019669,0.0006904777,0.0003234769,0.0005204042,0.0003747881],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007144396,0.001651135,0.4308448,0.001041784,0.00009638765,0.000007173547,0.4250827,7.251503e-7,0.0002806704,0.02674544,0.006860794,0.106674],"study_design_scores_gemma":[0.01594028,0.004109926,0.5076955,0.005789052,0.0007280296,0.000001147533,0.365297,0.0001969589,0.0009163757,0.02521021,0.07270358,0.001411928],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7512649,0.00001501183,0.0002438985,0.0002146978,0.006377512,0.001532384,0.00003681114,0.00004283585,0.2402719],"genre_scores_gemma":[0.9962623,0.00002777558,0.0001768776,0.002200737,0.0004405877,0.0002168408,0.0001028178,0.00001421416,0.0005579218],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2449973,"threshold_uncertainty_score":0.9986745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.251785504417724,"score_gpt":0.4481933247670281,"score_spread":0.1964078203493042,"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."}}