{"id":"W4247932109","doi":"10.21203/rs.2.16668/v3","title":"Seniors’ Campus Continuums: Local Solutions for Broad Spectrum Seniors Care","year":2020,"lang":"en","type":"preprint","venue":"Research Square","topic":"Geriatric Care and Nursing Homes","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Canadian Institutes of Health Research; University of Toronto","keywords":"Spectrum (functional analysis); Broad spectrum; Gerontology; Psychology; Medicine; Physics; Chemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002497427,0.0002490411,0.0001560974,0.0004885677,0.007773464,0.004149145,0.002324316,0.00159074,0.03402375],"category_scores_gemma":[0.0022548,0.0001997527,0.0004884485,0.0006601139,0.002254962,0.002670887,0.01619633,0.001936652,0.00224234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007753299,"about_ca_system_score_gemma":0.02995294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03884106,"about_ca_topic_score_gemma":0.2045235,"domain_scores_codex":[0.9989074,0.0004033659,0.00004014821,0.00008207983,0.0001616668,0.0004052073],"domain_scores_gemma":[0.9953098,0.0001636,0.0001250658,0.0001513607,0.0003364633,0.003913783],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003073596,0.001788026,0.04495989,0.001061639,0.0000490484,0.004702813,0.07341471,0.001488297,0.002857352,0.05330736,0.2944913,0.5215722],"study_design_scores_gemma":[0.0001329348,0.0007738083,0.04345665,0.001090197,0.00004310831,0.0008714319,0.3285315,0.001442865,0.0007044459,0.01788268,0.6050028,0.0000676823],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5934409,0.004718143,0.01823962,0.1246022,0.00200638,0.001662397,0.0005618791,0.001558575,0.25321],"genre_scores_gemma":[0.9016196,0.002587071,0.02558796,0.007206808,0.0002899163,0.0006354445,0.0004649947,0.0001194686,0.06148886],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03884106,"threshold_uncertainty_score":0.1138209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.10718008865285,"score_gpt":0.4740341702949366,"score_spread":0.3668540816420865,"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."}}