{"id":"W7019206017","doi":"","title":"Family policy in Ontario and Quebec: Different from afar or far from different?","year":2013,"lang":"en","type":"article","venue":"MacSphere (McMaster University)","topic":"Family Dynamics and Relationships","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Public policy; Population; Social policy","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":[0.00209275,0.0002074059,0.0006033455,0.001372901,0.01800211,0.005093182,0.002263237,0.002433093,0.01139341],"category_scores_gemma":[0.00584219,0.0003327568,0.000574321,0.004567371,0.004314731,0.00244127,0.002597592,0.002071199,0.0003536919],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1838351,"about_ca_system_score_gemma":0.2351232,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9988737,"about_ca_topic_score_gemma":0.9996666,"domain_scores_codex":[0.9965391,0.0006520822,0.00009090133,0.0001694769,0.0005072584,0.002041145],"domain_scores_gemma":[0.9922686,0.0006435417,0.0006239024,0.0001100953,0.001857332,0.004496566],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005696964,0.0004395522,0.5340136,0.0006244012,0.0003229509,0.002514553,0.1439777,0.001659509,0.0007978859,0.08784539,0.1265961,0.1006387],"study_design_scores_gemma":[0.00007526894,0.00006597686,0.6113233,0.0008488037,0.0001057707,0.0002234381,0.2299362,0.0006855038,0.0002007937,0.002687847,0.1537196,0.000127541],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7709319,0.01371231,0.0003341954,0.1466739,0.0003664935,0.0001222358,0.002344522,0.00004112373,0.0654733],"genre_scores_gemma":[0.9646349,0.003324275,0.0003041172,0.008073904,0.0000538502,0.00006978244,0.000295301,0.00002410894,0.02321967],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1838351,"threshold_uncertainty_score":0.9466356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02198457323645466,"score_gpt":0.2112234030852197,"score_spread":0.189238829848765,"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."}}