{"id":"W2040195534","doi":"10.1111/j.1541-0064.2001.tb01487.x","title":"Hospital restructuring in smaller urban Ontario settings: unwritten rules and uncertain relations","year":2001,"lang":"en","type":"article","venue":"Canadian Geographies / Géographies canadiennes","topic":"Healthcare innovation and challenges","field":"Social Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Northern British Columbia","funders":"","keywords":"Restructuring; Metropolitan area; Context (archaeology); Welfare; Business; Social Welfare; Service delivery framework; Public administration; Scale (ratio); Order (exchange); Social security; Health care; Service (business); Public relations; Political science; Economic growth; Economics; Medicine; Finance; Marketing; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0005600794,0.0002848686,0.0002967239,0.003464299,0.001451896,0.000189305,0.0003367903,0.0003024149,0.0002212648],"category_scores_gemma":[0.0002233614,0.000329502,0.00009858145,0.003551831,0.00136777,0.0003978662,0.00003178911,0.0004542041,0.000006021512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005234155,"about_ca_system_score_gemma":0.0009844506,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.985599,"about_ca_topic_score_gemma":0.9999771,"domain_scores_codex":[0.9972868,0.0001510123,0.0004572991,0.0005302352,0.0002738591,0.001300798],"domain_scores_gemma":[0.9981564,0.0001482219,0.0001189536,0.0002898064,0.0002119644,0.00107462],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000005950757,0.0000109598,0.8758634,0.00001449356,0.00003469428,0.000152247,0.03343243,0.000002270559,5.103652e-7,0.07931674,0.00366478,0.007501544],"study_design_scores_gemma":[0.0001834859,0.0000382344,0.5055155,0.00006418362,0.000008034286,0.000008996784,0.06098625,0.000002067721,1.973266e-7,0.003755503,0.4291181,0.0003194721],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9424714,0.001484381,4.14903e-7,0.0398297,0.0004351488,0.000401805,0.00003708628,0.00009600111,0.01524406],"genre_scores_gemma":[0.9947622,0.002499955,0.0002031299,0.0008891586,0.0001873677,0.00006102336,0.00004643832,0.00002975173,0.001320992],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4254534,"threshold_uncertainty_score":0.9999157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01637152672356836,"score_gpt":0.2394579024291101,"score_spread":0.2230863757055417,"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."}}