{"id":"W3032128451","doi":"","title":"Are we ready? Examining aging and age-friendly policies in Ontario Municipalities","year":2017,"lang":"en","type":"other","venue":"ORCA Online Research @Cardiff (Cardiff University)","topic":"Hermeneutics and Narrative Identity","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Aging in place; Business; Political science; Economic growth; Gerontology; Medicine; Economics","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007932242,0.0005081822,0.001053136,0.002489,0.001096949,0.0006805186,0.0008990873,0.0003327811,0.00127193],"category_scores_gemma":[0.0001867296,0.0005317865,0.0002006954,0.0001610959,0.001921401,0.0003507742,0.001148033,0.001643846,0.0000810466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007896622,"about_ca_system_score_gemma":0.0005534007,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4485553,"about_ca_topic_score_gemma":0.9726642,"domain_scores_codex":[0.9963732,0.0006342931,0.0002600216,0.0007811312,0.0008392281,0.001112104],"domain_scores_gemma":[0.9978719,0.0001899967,0.0003375284,0.0009827581,0.0002514948,0.0003663599],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001368943,0.0004786355,0.03360891,0.0009291463,0.001575929,0.006569497,0.04571961,0.000009293823,0.00003825705,0.07131982,0.8357989,0.003815067],"study_design_scores_gemma":[0.0007328726,0.00009597647,0.007246687,0.001242131,0.00006940685,0.000004426516,0.02787438,0.000006051172,0.000001778711,0.0002461976,0.9619645,0.000515632],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.06140286,0.0009519901,5.198112e-7,0.000429598,0.0004016419,0.0004785939,0.0009935668,0.0001277349,0.9352135],"genre_scores_gemma":[0.03092973,0.004057919,0.00002920266,0.0000275297,0.0009483738,0.000004141727,0.0001745958,0.0002222675,0.9636062],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5241089,"threshold_uncertainty_score":0.9997134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2413761098450991,"score_gpt":0.3457108782914295,"score_spread":0.1043347684463304,"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."}}