{"id":"W3089115075","doi":"10.1093/pch/pxaa092","title":"Maximizing the impact of the Canada Child Benefit: Implications for clinicians and researchers","year":2020,"lang":"en","type":"article","venue":"Paediatrics & Child Health","topic":"Adolescent and Pediatric Healthcare","field":"Health Professions","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Addiction and Mental Health; Institute for Clinical Evaluative Sciences; Hospital for Sick Children; Public Health Ontario; University of Toronto; SickKids Foundation; Western University","funders":"","keywords":"Poverty; Child poverty; Child health; Cash transfers; Cash; Medicine; Environmental health; Family medicine; Business; Economic growth; Finance; Economics","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":[0.05994929,0.0009334107,0.002543756,0.002055638,0.008585303,0.0133541,0.006123544,0.00912146,0.0159775],"category_scores_gemma":[0.2978726,0.0005490878,0.001612296,0.003944622,0.01070727,0.009394032,0.008513529,0.0112395,0.001374943],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07591566,"about_ca_system_score_gemma":0.3813109,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6995137,"about_ca_topic_score_gemma":0.8591958,"domain_scores_codex":[0.9502431,0.02942082,0.002419103,0.001752178,0.01106848,0.005096407],"domain_scores_gemma":[0.7481623,0.1381741,0.008195241,0.003591932,0.05966168,0.04221475],"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":[0.0006026952,0.0004202991,0.01764614,0.007242924,0.0002939533,0.001217282,0.007765363,0.001560188,0.0002104424,0.05562088,0.538736,0.3686839],"study_design_scores_gemma":[0.001246637,0.0008524482,0.03107605,0.08832589,0.001070887,0.001350071,0.05296493,0.002665661,0.0007677388,0.1345602,0.6844884,0.0006311424],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.003827056,0.0509767,0.0006624281,0.9238798,0.0019909,0.0003111381,0.0003356206,0.00004328811,0.01797313],"genre_scores_gemma":[0.3194969,0.1951239,0.02324511,0.4410406,0.009539708,0.002492768,0.0004284382,0.0001828925,0.008449775],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9240843,"threshold_uncertainty_score":0.6045117,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1519034089366153,"score_gpt":0.4550438752695574,"score_spread":0.3031404663329421,"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."}}