{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00003621728,0.0001955183,0.0002467534,0.0001515918,0.0002997782,0.000166691,0.0003076842,0.0002170666,0.04377237],"category_scores_gemma":[0.00001572672,0.0001650879,0.00005733867,0.0002895633,0.0002016805,0.0002683928,0.0001722706,0.0003082071,0.0000709801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007742554,"about_ca_system_score_gemma":0.0002334367,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9653007,"about_ca_topic_score_gemma":0.9950641,"domain_scores_codex":[0.9987161,0.0001999323,0.0001592667,0.0003543293,0.0002184157,0.000351941],"domain_scores_gemma":[0.9993396,0.0001771167,0.0000715034,0.0001708444,0.00003306226,0.0002078316],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007500753,0.0001464262,0.8701921,0.000004147702,0.00009201038,0.00003934328,0.0133562,0.00001574935,0.0002004616,0.01386654,0.0004021233,0.1016099],"study_design_scores_gemma":[0.0008238924,0.0000209697,0.8502572,0.00003177112,0.00002914127,7.098323e-8,0.009868721,0.0002313143,0.000002204412,0.002546297,0.1359662,0.000222242],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8218228,0.00004914341,0.0001050999,0.0007824882,0.0001512677,0.0002477299,0.00002911165,0.00004022523,0.1767722],"genre_scores_gemma":[0.6415244,0.0001294709,0.0001202349,0.0001705417,0.00006508872,0.000001244482,0.00002342998,0.00001092191,0.3579547],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1811825,"threshold_uncertainty_score":0.9571018,"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."}}