{"id":"W7061519531","doi":"","title":"Prize winners / Les lauréats","year":2020,"lang":"fr","type":"article","venue":"Érudit documents and data repository (Érudit Consortium, University of Montreal)","topic":"Advanced Power Generation Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ideology; Conservatism; Politics; Power (physics); Individualism; State (computer science); Democracy; Hegemony","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"],"consensus_categories":[],"category_scores_codex":[0.0001118089,0.0004130848,0.0005684207,0.0001115419,0.0004251754,0.00007121375,0.00101237,0.0003354868,0.0001766936],"category_scores_gemma":[0.0001336807,0.0005250186,0.00009136527,0.0002535266,0.0006715591,0.001222487,0.0009977003,0.0003829432,0.00003777623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002823442,"about_ca_system_score_gemma":0.00008736595,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004403969,"about_ca_topic_score_gemma":0.002172648,"domain_scores_codex":[0.9978026,0.0000984071,0.000462909,0.0008639712,0.0003324829,0.0004396607],"domain_scores_gemma":[0.9979489,0.0001465057,0.0003413924,0.001122966,0.0001245615,0.00031565],"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":[0.0005550903,0.0003943534,0.01244981,0.001980369,0.002554128,0.003241949,0.001835672,0.009799198,0.02421622,0.01021605,0.6802378,0.2525193],"study_design_scores_gemma":[0.001921095,0.0002256501,0.00171896,0.0002283109,0.0004965988,0.00008083426,0.002223245,0.005741154,0.005658296,0.0002303523,0.9807498,0.0007257386],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5047996,0.2317337,0.09554793,0.07851613,0.008653217,0.003708044,0.009676038,0.003878067,0.06348731],"genre_scores_gemma":[0.9148705,0.04008427,0.02242517,0.000185398,0.0005440387,0.000002089881,0.0007543343,0.0001114878,0.02102269],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.410071,"threshold_uncertainty_score":0.9997202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01833551101651297,"score_gpt":0.214150709929385,"score_spread":0.1958151989128721,"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."}}