{"id":"W3184445492","doi":"10.7202/1078484ar","title":"Improving Access to Health Services in French: The Power of Networking and Knowledge Mobilization, a Proven Canadian Model","year":2021,"lang":"fr","type":"article","venue":"Minorités linguistiques et société","topic":"Interpreting and Communication in Healthcare","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"French; Mobilization; Health services; Compromise; Language barrier; Business; Quality (philosophy); Population; Computer science; Medicine; Political science; Environmental health; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.00900502,0.0005376926,0.00031172,0.0026173,0.01051533,0.007051859,0.001117718,0.001103271,0.004928061],"category_scores_gemma":[0.01487768,0.0001945965,0.0004424013,0.002272751,0.007152355,0.003531957,0.00370144,0.00128641,0.0002968832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03618309,"about_ca_system_score_gemma":0.06361609,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.699378,"about_ca_topic_score_gemma":0.6953689,"domain_scores_codex":[0.9907266,0.005556088,0.0002019247,0.0005556608,0.001314731,0.001644971],"domain_scores_gemma":[0.9918932,0.003459053,0.0008510979,0.0004608015,0.00185317,0.00148266],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001955687,0.0004466684,0.1668092,0.0009141964,0.0001654004,0.001193901,0.1897652,0.001858993,0.0008762904,0.2860829,0.02255434,0.3291374],"study_design_scores_gemma":[0.000101103,0.0005142892,0.2423687,0.003354742,0.0002655172,0.001010079,0.2985715,0.004666977,0.001346944,0.0644034,0.3831608,0.0002358882],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5046781,0.005402496,0.009413783,0.1009405,0.0003331253,0.0003745889,0.0004029317,0.0001255572,0.3783289],"genre_scores_gemma":[0.9896589,0.001452621,0.00260434,0.001628527,0.00003710431,0.00007769135,0.00004964257,0.00001247833,0.004478681],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.300622,"threshold_uncertainty_score":0.6047849,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07132191358375532,"score_gpt":0.4627374956574051,"score_spread":0.3914155820736498,"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."}}