{"id":"W3047267050","doi":"","title":"The Alberta Child and Family Benefit: Who Gains and Who Loses","year":2019,"lang":"en","type":"article","venue":"","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Family preservation; Political science; Psychology; Public economics; Geography; Economics; Welfare; Law","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":[0.002436661,0.0002581381,0.0003344992,0.001191197,0.005924312,0.005150563,0.0009021703,0.002283419,0.007461823],"category_scores_gemma":[0.005152894,0.0001849682,0.0002336824,0.001771073,0.00413094,0.00191655,0.001920506,0.002456103,0.0004621868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04475063,"about_ca_system_score_gemma":0.07417548,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9588912,"about_ca_topic_score_gemma":0.9848985,"domain_scores_codex":[0.9963958,0.0004128311,0.0000385332,0.0001497391,0.001138272,0.001864881],"domain_scores_gemma":[0.9975031,0.0003042298,0.0001374275,0.00004301867,0.0007467818,0.001265377],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001534394,0.00008596266,0.07964693,0.0001822417,0.00004822087,0.0005666631,0.009259034,0.0005083276,0.0002626286,0.2259649,0.5313212,0.1520004],"study_design_scores_gemma":[0.00006284472,0.00005347379,0.222179,0.001264166,0.0001036647,0.0004198329,0.04541549,0.0008140591,0.0003356319,0.04005986,0.6891573,0.0001347332],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1285656,0.03838115,0.0008082892,0.4606172,0.001718334,0.0000963323,0.002970494,0.0000726809,0.3667699],"genre_scores_gemma":[0.8431,0.0221443,0.001181791,0.03983013,0.0004895729,0.00006495696,0.001184807,0.00005151162,0.091953],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04475063,"threshold_uncertainty_score":0.32469,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01068012332327266,"score_gpt":0.2556972465102832,"score_spread":0.2450171231870105,"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."}}