{"id":"W4249045992","doi":"10.1002/cjas.38","title":"Éditorial","year":2007,"lang":"fr","type":"article","venue":"Canadian Journal of Administrative Sciences / Revue Canadienne des Sciences de l Administration","topic":"Multiculturalism, Politics, Migration, Gender","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Citation; Library science; Computer science; Information retrieval","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.002983721,0.001126069,0.001062407,0.00223717,0.00209897,0.005827549,0.001577397,0.005879246,0.1054238],"category_scores_gemma":[0.02123509,0.0004718884,0.001030529,0.001047357,0.001111597,0.002168912,0.001303634,0.006668916,0.04811881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002384234,"about_ca_system_score_gemma":0.003568037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003231405,"about_ca_topic_score_gemma":0.007351932,"domain_scores_codex":[0.9974704,0.000356622,0.0002030377,0.0004100261,0.001255122,0.0003048596],"domain_scores_gemma":[0.9873896,0.002652567,0.0006701434,0.000850522,0.006480079,0.001957213],"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":[0.000008568754,0.000003444382,0.00001647214,0.00004717717,0.000002385265,0.00003067866,0.00000475595,0.000003779463,0.00001510657,0.0002236038,0.99569,0.003953855],"study_design_scores_gemma":[0.00001207863,0.000004795062,0.0001434496,0.0001052624,0.000005099986,0.0000536948,0.00002002555,0.00001008051,0.00003138934,0.0002848517,0.999326,0.000003283516],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00008829866,0.004573177,0.00008183497,0.04803619,0.9240305,0.00004367013,0.0002546903,0.00006963854,0.02282197],"genre_scores_gemma":[0.00198638,0.006097245,0.000168044,0.04902478,0.7850728,0.00008005888,0.000344104,0.0001133478,0.1571133],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.1054238,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2452371584832529,"score_gpt":0.4236522687588459,"score_spread":0.1784151102755929,"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."}}