{"id":"W7064373166","doi":"","title":"Canada lags in development of report cards for hospitals","year":2001,"lang":"en","type":"article","venue":"Europe PMC (PubMed Central)","topic":"Electromagnetic Compatibility and Measurements","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Payment; Work (physics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003458744,0.0001208769,0.0001857165,0.0000391692,0.00002049982,0.000007365055,0.0001308766,0.00002516451,0.00001727323],"category_scores_gemma":[0.0001459104,0.0001288072,0.00002593274,0.0002075291,0.000009872282,0.00003649821,0.00001518597,0.00007822457,7.685123e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003383182,"about_ca_system_score_gemma":0.0004781267,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.009990609,"about_ca_topic_score_gemma":0.194325,"domain_scores_codex":[0.9985483,0.00001648985,0.0004238792,0.0001723623,0.0002379227,0.0006009923],"domain_scores_gemma":[0.9995322,0.00001930531,0.00004167521,0.0002128402,0.00006552836,0.0001284805],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001411052,0.0003488175,0.7188726,0.0009146228,0.0003267171,0.0007455208,0.008745277,0.006546346,0.02672684,0.0001398012,0.0214151,0.2150772],"study_design_scores_gemma":[0.000527132,0.00002340064,0.7543154,0.0000362426,0.00001019496,0.0000155917,0.0000229586,0.000133346,0.0353629,0.00001445661,0.2093375,0.000200871],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993901,0.0003576074,0.0002809201,0.00005788344,0.0004344109,0.0005031701,0.000006596053,0.00004127663,0.0044171],"genre_scores_gemma":[0.9984314,0.00003859473,0.0009690256,0.00002045721,0.00003752873,0.00007456858,0.00001364783,0.00002275327,0.0003919888],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2148764,"threshold_uncertainty_score":0.9966019,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01414836971746794,"score_gpt":0.1949772311980141,"score_spread":0.1808288614805461,"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."}}