{"id":"W4251698293","doi":"10.5489/cuaj.586","title":"Forger des alliances","year":2013,"lang":"en","type":"article","venue":"Canadian Urological Association Journal","topic":"Multiculturalism, Politics, Migration, Gender","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Urological Association","funders":"","keywords":"Business; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008439005,0.0006673062,0.0006819781,0.001879309,0.01934768,0.01285261,0.001500486,0.005796316,0.06766936],"category_scores_gemma":[0.02537136,0.0004791399,0.0007336253,0.00142921,0.0110528,0.01370183,0.01158804,0.01221147,0.01682978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009006871,"about_ca_system_score_gemma":0.01267962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02142844,"about_ca_topic_score_gemma":0.04505849,"domain_scores_codex":[0.9860465,0.005032446,0.0002946557,0.001164363,0.004421895,0.003040197],"domain_scores_gemma":[0.9871667,0.002386513,0.0005991127,0.001480718,0.002681485,0.005685515],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000465217,0.0000707151,0.001259969,0.00003802701,0.00001805533,0.0004963134,0.02122467,0.00007151783,0.0003690209,0.7887224,0.1451915,0.04249121],"study_design_scores_gemma":[0.000007618902,0.00001005901,0.0004727838,0.00006468955,0.000003310818,0.0001753531,0.01028355,0.00004579977,0.00007017318,0.03619405,0.9526578,0.00001480341],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02019716,0.004184165,0.0042422,0.1359423,0.008688916,0.00007740824,0.0001162979,0.0002046771,0.8263469],"genre_scores_gemma":[0.3828231,0.001979487,0.002479277,0.02612145,0.001792199,0.0001235191,0.0001276294,0.0002885739,0.5842648],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06766936,"threshold_uncertainty_score":0.2263766,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09736424796328423,"score_gpt":0.3407967868519088,"score_spread":0.2434325388886246,"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."}}