{"id":"W7055377158","doi":"","title":"Canadian policy towards veterans : from WWI to Afghanistan","year":2013,"lang":"en","type":"book-chapter","venue":"Homo Politicus (Academy of Humanities and Economics in Lodz)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Foreign policy; Prime minister; Work (physics); Public 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":[0.001139273,0.000617947,0.0003577496,0.002043571,0.02681094,0.008548356,0.001383636,0.00330803,0.01719339],"category_scores_gemma":[0.002710491,0.0004805825,0.0004186789,0.005496782,0.004770029,0.002190709,0.002191816,0.005269773,0.001350432],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1720016,"about_ca_system_score_gemma":0.2749783,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9956293,"about_ca_topic_score_gemma":0.998022,"domain_scores_codex":[0.9981535,0.0001208812,0.00003006148,0.0001124509,0.0005542571,0.00102878],"domain_scores_gemma":[0.9991587,0.00009110275,0.00003047331,0.00001720598,0.0003750951,0.0003274325],"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":[0.00004435484,0.00002598242,0.001841921,0.0001502332,0.00001757127,0.000265482,0.01509863,0.0002832381,0.0001683434,0.4558191,0.466769,0.05951617],"study_design_scores_gemma":[0.000007711339,0.000005752669,0.002436353,0.0001646656,0.000008310232,0.0000534439,0.008540711,0.00005815256,0.00008836749,0.007118692,0.9814937,0.00002403506],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0199806,0.03113456,0.0004772684,0.1788863,0.003939863,0.00006705593,0.001110808,0.00006715275,0.7643363],"genre_scores_gemma":[0.3139264,0.03839355,0.001217922,0.03340627,0.0007054595,0.0001001481,0.0006947973,0.0001708157,0.6113847],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1720016,"threshold_uncertainty_score":0.9603608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02941485983005297,"score_gpt":0.2476212345810938,"score_spread":0.2182063747510408,"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."}}