{"id":"W4229560760","doi":"10.21203/rs.2.16668/v1","title":"Seniors’ Campus Continuums: Local Solutions for Broad Spectrum Seniors Care","year":2019,"lang":"en","type":"preprint","venue":"Research Square","topic":"Geriatric Care and Nursing Homes","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Canadian Institutes of Health Research; University of Toronto","keywords":"Broad spectrum; Spectrum (functional analysis); Gerontology; Psychology; Medicine; Physics; Chemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.00341806,0.0002990975,0.0002209402,0.0006119261,0.002782107,0.006627377,0.001145726,0.001550847,0.1954465],"category_scores_gemma":[0.00512741,0.0002462789,0.0003122066,0.00165047,0.0005926882,0.003525221,0.004783735,0.001528007,0.03168371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003075041,"about_ca_system_score_gemma":0.00848969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009471986,"about_ca_topic_score_gemma":0.03537165,"domain_scores_codex":[0.9987244,0.0003890605,0.00004245837,0.0001121081,0.0004678601,0.00026401],"domain_scores_gemma":[0.9954312,0.0005044065,0.0001365962,0.0004070612,0.0007984295,0.00272239],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001685497,0.0006654806,0.006179017,0.0001398829,0.00001208876,0.0001523541,0.001460382,0.0004257837,0.0005491917,0.03952079,0.7307451,0.2199815],"study_design_scores_gemma":[0.0002621576,0.0002425211,0.01865502,0.0002881419,0.00002930002,0.000217631,0.01593894,0.003572807,0.001103027,0.0226754,0.9369698,0.00004517556],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1108242,0.002180008,0.02386425,0.08366476,0.003612555,0.0008386094,0.005899305,0.00770854,0.7614078],"genre_scores_gemma":[0.2528893,0.001472295,0.04928363,0.005035483,0.0009758787,0.0005570811,0.004659706,0.001693905,0.6834328],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1954465,"threshold_uncertainty_score":0.6538337,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08139110527342566,"score_gpt":0.4668327799621007,"score_spread":0.385441674688675,"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."}}