{"id":"W4415971581","doi":"10.64628/aam.7uvhf37a3","title":"Federal budget: Mr. Prime Minister, child care is infrastructure too","year":2025,"lang":"","type":"article","venue":"","topic":"Dermatoglyphics and Human Traits","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Child care; Government (linguistics); Payment; Work (physics)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.003079886,0.001023831,0.001045499,0.0009892687,0.004117581,0.00367017,0.001065822,0.00687859,0.13292],"category_scores_gemma":[0.01166144,0.0007783849,0.0007679228,0.0005178829,0.001114312,0.001892404,0.002966063,0.01177751,0.05189911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004528795,"about_ca_system_score_gemma":0.01781744,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05133415,"about_ca_topic_score_gemma":0.0712846,"domain_scores_codex":[0.9981409,0.0002365468,0.00007688146,0.0002499662,0.0007160221,0.0005796046],"domain_scores_gemma":[0.9902559,0.0009688288,0.0003046577,0.0003558908,0.003933331,0.004181406],"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":[0.00008352903,0.00002695187,0.0001847276,0.00002155728,0.000003930525,0.00007342196,0.00002653951,0.0000329524,0.0001635166,0.00184402,0.9918374,0.005701419],"study_design_scores_gemma":[0.00003111807,0.00004741185,0.001381305,0.00006410523,0.000004959721,0.00009299784,0.0001153259,0.00005920798,0.00007365734,0.0005075257,0.9976091,0.00001314753],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001445243,0.002809088,0.0004120436,0.8970483,0.0368713,0.0001993406,0.003055457,0.0005451335,0.05761409],"genre_scores_gemma":[0.01523189,0.003462384,0.001669013,0.2685816,0.007797035,0.0003372248,0.002337392,0.0003214635,0.7002619],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.13292,"threshold_uncertainty_score":0.4446618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003378596242886124,"score_gpt":0.2393352703676632,"score_spread":0.2359566741247771,"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."}}