{"id":"W4383458647","doi":"10.1515/9780773572379-008","title":"I Spy with my Little Eye ... Canada’s National Child Benefit","year":2004,"lang":"en","type":"book-chapter","venue":"McGill-Queen's University Press eBooks","topic":"Child and Adolescent Health","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Optometry; Political science; Psychology; Medicine","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":[0.0008443865,0.0004262767,0.0003826244,0.0006812416,0.009569327,0.003829006,0.0009180606,0.003326541,0.07948346],"category_scores_gemma":[0.002432655,0.0003389525,0.0003695084,0.0007405455,0.002945531,0.001924779,0.001996277,0.006352012,0.01932755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01129971,"about_ca_system_score_gemma":0.02625823,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7819407,"about_ca_topic_score_gemma":0.9361514,"domain_scores_codex":[0.9989585,0.0000869116,0.000009159191,0.00006673015,0.0004699398,0.0004088474],"domain_scores_gemma":[0.9989728,0.00009796899,0.00002578535,0.00003465399,0.0003665381,0.0005022846],"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":[0.000003893233,0.000005706468,0.000229526,0.00001400383,0.000001328226,0.00003523593,0.000552972,0.000008064143,0.00004358619,0.007987622,0.9766837,0.01443447],"study_design_scores_gemma":[0.000001773128,0.000002943432,0.0006771687,0.00006204571,0.000001826061,0.00004475297,0.0007362962,0.000009079797,0.00002429157,0.0005546678,0.9978806,0.000004530144],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001728564,0.01040537,0.0005626177,0.1930922,0.005534967,0.00005152489,0.000464569,0.000200202,0.7879601],"genre_scores_gemma":[0.01092195,0.00323599,0.0004668146,0.04239673,0.0002726766,0.00002331472,0.00008109274,0.0001031094,0.9424983],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2180593,"threshold_uncertainty_score":0.438687,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0200187470847791,"score_gpt":0.2575746347229683,"score_spread":0.2375558876381892,"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."}}