{"id":"W7029206302","doi":"","title":"Improving Social Security in Canada : a Discussion Paper /","year":2015,"lang":"en","type":"other","venue":"Bibliothèque et Archives nationales du Québec (Québec government)","topic":"Economic and Social Issues","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Social security; Government (linguistics); Work (physics); Key (lock)","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005072039,0.0003342527,0.0004782115,0.0004140234,0.0003225309,0.0001825041,0.000640716,0.0001687358,0.009961888],"category_scores_gemma":[0.001498828,0.0002948827,0.0001298031,0.0004338284,0.0003262448,0.0003251514,0.0002493626,0.0004017604,0.0001167389],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.01879773,"about_ca_system_score_gemma":0.2219596,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9996355,"about_ca_topic_score_gemma":0.9999991,"domain_scores_codex":[0.9971914,0.0004011026,0.0004281765,0.0004830907,0.001038648,0.0004575943],"domain_scores_gemma":[0.99787,0.001246214,0.0004593905,0.0001716841,0.00002968605,0.0002229919],"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":[0.00002478061,0.00007361681,0.01741589,0.00004648897,0.00005456877,0.00001327756,0.03109236,0.000001535604,0.000006099397,0.008580497,0.942101,0.0005899112],"study_design_scores_gemma":[0.0004277792,0.00001084046,0.005096471,0.00008544463,0.00001881572,4.928977e-7,0.004948941,0.0000262485,0.00000173291,0.0006016209,0.9883647,0.0004169333],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.006287456,0.002376052,0.000005736574,0.01546596,0.0002553026,0.0003946684,0.0003201412,0.0001046942,0.97479],"genre_scores_gemma":[0.296207,0.0004827192,0.00005722865,0.001040032,0.001294841,0.0000822838,0.00003302787,0.0002075737,0.7005953],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2899195,"threshold_uncertainty_score":0.9999503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009707715577238695,"score_gpt":0.2351993020723218,"score_spread":0.2254915864950831,"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."}}