{"id":"W1970377139","doi":"10.1016/s0828-282x(08)70564-6","title":"The politicization of the wait times issue – and how to rise above it","year":2008,"lang":"en","type":"article","venue":"Canadian Journal of Cardiology","topic":"Healthcare Operations and Scheduling Optimization","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University; Kingston General Hospital","funders":"","keywords":"Medicine; Government (linguistics); Health care; Politics; Conviction; Distrust; Alliance; Public administration; Public relations; Law; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0006583974,0.00005564778,0.0001915145,0.00008630048,0.001078253,0.000007425244,0.0001309796,0.0001108146,0.00002432444],"category_scores_gemma":[0.001101673,0.00003251118,0.00004435244,0.000140533,0.0001347928,0.00004806891,0.00001224992,0.0002653122,0.000005896183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000997086,"about_ca_system_score_gemma":0.002393046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00137653,"about_ca_topic_score_gemma":0.005307123,"domain_scores_codex":[0.9986923,0.0006336316,0.0002896521,0.00006113689,0.00007719895,0.000246055],"domain_scores_gemma":[0.9985098,0.0002606813,0.0001664454,0.0001508498,0.0006157483,0.0002965014],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005596338,0.000002627126,0.3137286,0.00007199893,0.000163616,0.00003048077,0.01781973,0.02836437,0.0001469558,0.02887424,0.6064621,0.004279311],"study_design_scores_gemma":[0.0003127613,0.0001218202,0.1085095,0.00008306836,0.00002580071,0.0001154016,0.003254429,0.0004326001,0.00002017574,0.0002317894,0.8868192,0.00007337316],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.549715,0.001664542,0.01119538,0.4144272,0.003647721,0.0009793105,0.00008425629,0.000006724813,0.0182799],"genre_scores_gemma":[0.9949136,0.000247226,0.0003310079,0.00147247,0.0007031721,0.000004756739,0.00000130681,0.000007715945,0.002318755],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4451986,"threshold_uncertainty_score":0.8293156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04301699405373336,"score_gpt":0.3467869817359515,"score_spread":0.3037699876822181,"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."}}