{"id":"W2000765162","doi":"10.1111/1467-9566.00269","title":"Everyday experiences of implicit rationing: comparing the voices of nurses in California and British Columbia","year":2001,"lang":"en","type":"article","venue":"Sociology of Health & Illness","topic":"Primary Care and Health Outcomes","field":"Health Professions","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Carleton University; York University; Western University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Rationing; Staffing; Health care; Politics; Managed care; Nursing; Health care rationing; Business; Public relations; Psychology; Political science; Medicine; Economics; Economic growth; Law","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001821195,0.00009031133,0.0008494343,0.00005644866,0.0009965559,0.000002862298,0.0002133896,0.000199304,0.0002139967],"category_scores_gemma":[0.0001973097,0.00009263925,0.0000490484,0.000169991,0.001222434,0.00007873817,0.00009152421,0.0003784923,0.000001795417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001180435,"about_ca_system_score_gemma":0.001352205,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1024911,"about_ca_topic_score_gemma":0.07760662,"domain_scores_codex":[0.996806,0.001092322,0.001267144,0.0002105957,0.000150832,0.0004730516],"domain_scores_gemma":[0.9973867,0.001294735,0.0008984949,0.0001963033,0.0001549666,0.00006878802],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002886037,0.00003930549,0.8779631,0.0005973204,0.00001105622,0.000001130005,0.1149482,0.000002508185,0.00001405533,0.000201679,0.004426579,0.001766183],"study_design_scores_gemma":[0.0007212861,0.0001286322,0.8217511,0.0002070542,0.000007122522,0.000007733105,0.1705866,0.00001571874,0.000005443936,0.001259471,0.005222292,0.00008757677],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9910039,0.004141498,0.00002141641,0.00265898,0.0007149577,0.0006448501,0.00003330647,0.0000157457,0.000765335],"genre_scores_gemma":[0.9960842,0.0009973345,0.00005055494,0.002384439,0.00004983147,0.0001366913,0.00001648551,0.000009450544,0.0002709849],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.056212,"threshold_uncertainty_score":0.9392247,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03843241199097605,"score_gpt":0.4015233149945496,"score_spread":0.3630909030035735,"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."}}