{"id":"W2729884920","doi":"10.1093/geroni/igx004.4462","title":"ARE SOCIETAL FACTORS INFLUENCING CANADIAN POLICIES FOR INFORMAL CARE PROVISION?","year":2017,"lang":"en","type":"article","venue":"Innovation in Aging","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Population ageing; Business; Population; Economic growth; Public economics; Medicine; Economics; Environmental health","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":[0.003374354,0.0002440442,0.0003923661,0.002346419,0.005731035,0.0043753,0.001493122,0.000945551,0.007921265],"category_scores_gemma":[0.01540582,0.000231234,0.0006229031,0.004984693,0.002583814,0.001281536,0.00189945,0.001683707,0.0002370451],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1336565,"about_ca_system_score_gemma":0.1877587,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9939692,"about_ca_topic_score_gemma":0.9937913,"domain_scores_codex":[0.9958858,0.0003915725,0.0001705776,0.0002785922,0.001627869,0.001645593],"domain_scores_gemma":[0.9871801,0.001677305,0.002470869,0.0003398352,0.005374934,0.002956975],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001598097,0.0001242037,0.8114278,0.0003172142,0.0001481135,0.0004977139,0.01258486,0.001726662,0.0002898744,0.08180194,0.02456234,0.06635947],"study_design_scores_gemma":[0.00001436874,0.00002492105,0.9267291,0.0004496729,0.0000530884,0.0001083063,0.01888392,0.00104545,0.0001481506,0.003777255,0.04870664,0.00005911436],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7959368,0.008784757,0.001023581,0.09923385,0.0002226239,0.0001397127,0.005726022,0.00003994419,0.08889268],"genre_scores_gemma":[0.9937102,0.002211876,0.0003178398,0.001203006,0.00002707589,0.00001299097,0.000525038,0.000009316377,0.001982715],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8663435,"threshold_uncertainty_score":0.9697501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08432926647445843,"score_gpt":0.3265000472782719,"score_spread":0.2421707808038134,"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."}}