{"id":"W7057846129","doi":"","title":"Language barriers: Use of regular medical doctors by Canadaâs official language minorities","year":2012,"lang":"en","type":"article","venue":"Europe PMC (PubMed Central)","topic":"Pulsed Power Technology Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); MEDLINE; On Language; Official language; Field (mathematics); First language; Natural language; Ethnic group","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":[0.001688533,0.0002643376,0.0004040697,0.001339215,0.006117103,0.003642809,0.001272785,0.001035391,0.01698434],"category_scores_gemma":[0.0127167,0.0002817083,0.0004615049,0.003361222,0.001211702,0.001500138,0.00255521,0.001621995,0.0006340774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009495459,"about_ca_system_score_gemma":0.04303725,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9279817,"about_ca_topic_score_gemma":0.9387293,"domain_scores_codex":[0.9955683,0.0006677815,0.0002587375,0.0002778042,0.001000134,0.002227217],"domain_scores_gemma":[0.9874281,0.002445357,0.003646147,0.0002379539,0.002623042,0.003619309],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003708393,0.0004350992,0.8605675,0.0004485671,0.0000735819,0.001408968,0.07803015,0.00005868515,0.000744672,0.002677323,0.02070341,0.03448128],"study_design_scores_gemma":[0.00003701332,0.00009361294,0.7388029,0.001003022,0.00008477155,0.0006400738,0.2390102,0.0001357544,0.0004241246,0.0003046357,0.0193963,0.00006755316],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9597576,0.002017014,0.0001118792,0.01299725,0.0001508337,0.00009186419,0.001903387,0.0000118912,0.02295821],"genre_scores_gemma":[0.9882394,0.001791541,0.0001297109,0.00395527,0.00003724558,0.00004643708,0.0004287403,0.00001772326,0.005353938],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07201827,"threshold_uncertainty_score":0.1448848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006633804445331279,"score_gpt":0.2000922670699136,"score_spread":0.1934584626245823,"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."}}