{"id":"W7098154549","doi":"","title":"ACCESS TO HEALTH SERVICES FOR ELDERLY MÉTIS WOMEN IN","year":2014,"lang":"en","type":"article","venue":"","topic":"Sex and Gender in Healthcare","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Excellence; Health services; Health information; Health policy; Health services research; Health promotion; Health care","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":[0.0004105559,0.0000778792,0.0001987085,0.0004059931,0.001469749,0.0008331712,0.0004720418,0.0005614531,0.004039564],"category_scores_gemma":[0.001920658,0.0002183653,0.0002448619,0.0006533966,0.0003935035,0.0008388458,0.001568415,0.0007847818,0.0001842603],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001865658,"about_ca_system_score_gemma":0.002629002,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1814372,"about_ca_topic_score_gemma":0.4062298,"domain_scores_codex":[0.999393,0.0001011328,0.0000492526,0.00005283927,0.00008327836,0.0003205877],"domain_scores_gemma":[0.9992042,0.0001071462,0.000248652,0.00002111049,0.0000787854,0.0003400692],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002539729,0.0003839628,0.9362943,0.0002579546,0.00007341855,0.001777609,0.02460787,0.0001020895,0.001015961,0.001290185,0.003887213,0.03005539],"study_design_scores_gemma":[0.00002956709,0.0002126812,0.9602525,0.0001928691,0.0000308305,0.000641151,0.03168621,0.000239407,0.00009958483,0.000266604,0.006332385,0.00001613411],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926516,0.0005455133,0.00002651554,0.002750385,0.00001555001,0.00002531588,0.0002823451,0.000002722651,0.003700043],"genre_scores_gemma":[0.9977974,0.000413652,0.00005566303,0.0004898821,0.00001272067,0.00001801931,0.00009556926,0.00000120598,0.001115955],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8185628,"threshold_uncertainty_score":0.3607622,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06713151380971887,"score_gpt":0.411419119820471,"score_spread":0.3442876060107521,"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."}}