{"id":"W3162269835","doi":"10.1177/10398562211006128","title":"Three perils of medico-political professional organisations: corporatisation, bureaucratisation and concentration of power","year":2021,"lang":"en","type":"article","venue":"Australasian Psychiatry","topic":"Healthcare Quality and Management","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Politics; Power (physics); Face (sociological concept); Public relations; Political science; Professional association; Public administration; Management; Sociology; Law; Social science; Economics","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":[0.0006005592,0.0001310564,0.0002900179,0.00005679372,0.000264517,0.000005921515,0.00007601106,0.0002561001,0.001401765],"category_scores_gemma":[0.0002712722,0.000126532,0.00004183979,0.0002472299,0.0001809797,0.0001722124,0.00004516139,0.0003195881,0.00001628571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007542173,"about_ca_system_score_gemma":0.00208938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002632815,"about_ca_topic_score_gemma":0.001086485,"domain_scores_codex":[0.997576,0.0004333803,0.001013764,0.0002627276,0.0003872769,0.0003268796],"domain_scores_gemma":[0.9984275,0.0002153847,0.0004537773,0.0002911114,0.0004326991,0.0001795977],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00002195904,0.0001291231,0.2870471,0.0006536964,0.00002876851,9.790112e-7,0.00262527,4.89759e-7,0.000614498,0.7008973,0.007536302,0.0004445045],"study_design_scores_gemma":[0.001215079,0.0001588153,0.8689393,0.0005069744,0.00006008874,0.00000555635,0.03369857,0.00002884392,0.0004221183,0.09268836,0.002113145,0.000163139],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9136311,0.0002632396,0.00711421,0.06582969,0.003169511,0.001277449,0.0001268769,0.00006152046,0.008526408],"genre_scores_gemma":[0.9925039,0.00001908837,0.005560089,0.001157555,0.0001947441,0.00004313731,0.0001674668,0.00001450731,0.0003394605],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.608209,"threshold_uncertainty_score":0.9995111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05083063236235815,"score_gpt":0.4131643588179789,"score_spread":0.3623337264556207,"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."}}