{"id":"W7005858983","doi":"","title":"The Source of Toronto's 'Silver Lining': What is Motivating Older Adults to Live in Toronto's Urban Core?","year":2015,"lang":"en","type":"other","venue":"eScholarship@McGill (McGill)","topic":"Lepidoptera: Biology and Taxonomy","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Data collection; Population; Work (physics); Perception; Action (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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001334293,0.0003014216,0.0003888219,0.0005906153,0.007921837,0.003932843,0.001320641,0.001962192,0.02946698],"category_scores_gemma":[0.005346253,0.000256202,0.0003367786,0.001092209,0.002628353,0.001703611,0.00410215,0.002018015,0.002183092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02161815,"about_ca_system_score_gemma":0.03489084,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8599163,"about_ca_topic_score_gemma":0.9646699,"domain_scores_codex":[0.9989709,0.000219394,0.0000262083,0.00006341371,0.0002189903,0.00050114],"domain_scores_gemma":[0.9934682,0.0003188364,0.0003878535,0.00007517893,0.0008830826,0.004866738],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001630853,0.0001923085,0.1420805,0.0008361539,0.00005622592,0.0008119383,0.1498544,0.00008705992,0.0003199845,0.006009349,0.5383814,0.1612076],"study_design_scores_gemma":[0.00004821562,0.0001412751,0.2766044,0.002035963,0.0001001989,0.0002106359,0.4073039,0.00009210282,0.0001154846,0.001245753,0.3120232,0.0000788621],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4563015,0.02080904,0.0006060918,0.324732,0.003251434,0.0002356623,0.002569894,0.000188208,0.1913062],"genre_scores_gemma":[0.9065048,0.00921463,0.0009851005,0.02218356,0.0004494511,0.000217719,0.0007021314,0.000103389,0.05963917],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1400837,"threshold_uncertainty_score":0.2818174,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01196533165195609,"score_gpt":0.2371662803401529,"score_spread":0.2252009486881968,"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."}}