{"id":"W1983939180","doi":"10.1353/cja.2005.0045","title":"Anticipating Change: How Many Acute Care Hospital Beds Will Manitoba Regions Need in 2020?","year":2005,"lang":"en","type":"article","venue":"Canadian Journal on Aging / La Revue canadienne du vieillissement","topic":"Global Health Care Issues","field":"Health Professions","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Manitoba Health","funders":"","keywords":"Projections of population growth; Poisson regression; Context (archaeology); Occupancy; Acute care; Health care; Economic shortage; Hospital bed; Population growth; Population projection; Projection (relational algebra); Population; Geography; Operations management; Medicine; Environmental health; Economics; Economic growth; Computer science; Engineering; Nursing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001877724,0.0004060591,0.0002819448,0.0007198317,0.001106562,0.002839771,0.000822658,0.001543966,0.004009468],"category_scores_gemma":[0.006243998,0.0001929201,0.0004502125,0.001303946,0.0006733066,0.001624549,0.0008726461,0.001199002,0.0004764638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009621013,"about_ca_system_score_gemma":0.01300306,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4230581,"about_ca_topic_score_gemma":0.6240509,"domain_scores_codex":[0.9993666,0.0002413922,0.00001999976,0.00004662517,0.0001177273,0.0002076755],"domain_scores_gemma":[0.9985536,0.0004062693,0.0002517291,0.00002301494,0.0004107647,0.0003545615],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003491758,0.0002673098,0.747532,0.0005516518,0.0001588594,0.001144029,0.006811508,0.02734138,0.001476624,0.01327344,0.04591845,0.1551756],"study_design_scores_gemma":[0.00006698337,0.0004779655,0.7797087,0.0008236668,0.0001759886,0.000533534,0.09467404,0.04804211,0.0009312744,0.0178332,0.05655424,0.0001782683],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.764298,0.005042248,0.004927079,0.1844316,0.0004225754,0.0001292033,0.00305413,0.0001536331,0.03754146],"genre_scores_gemma":[0.9859377,0.003395618,0.004374885,0.002568395,0.0001148076,0.00006315074,0.0007351085,0.000009345496,0.002801045],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5769418,"threshold_uncertainty_score":0.8411913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02679470375898821,"score_gpt":0.3173643556310966,"score_spread":0.2905696518721084,"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."}}