{"id":"W3185234944","doi":"","title":"Exploring how language affects Canadian women’s experiences with sexual and reproductive health","year":2015,"lang":"en","type":"article","venue":"","topic":"Interpreting and Communication in Healthcare","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Reproductive health; Gender studies; Psychology; Medicine; Sociology; Population; Demography","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":[0.004411747,0.0004673002,0.0004133488,0.002223433,0.02896111,0.00974707,0.001873504,0.002049502,0.01064344],"category_scores_gemma":[0.01829966,0.0005318266,0.0006369016,0.003761132,0.00788917,0.003108324,0.004798431,0.004618661,0.0005184475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.09803907,"about_ca_system_score_gemma":0.1464132,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9920332,"about_ca_topic_score_gemma":0.9954261,"domain_scores_codex":[0.9943045,0.001391678,0.0001576896,0.0002819433,0.001303903,0.002560256],"domain_scores_gemma":[0.9859266,0.004104926,0.001362428,0.0002271088,0.00502343,0.003355439],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001269691,0.00007165341,0.06181548,0.00008062067,0.0000192596,0.0007690293,0.917188,0.00006009761,0.0003694577,0.005046398,0.005685495,0.008767602],"study_design_scores_gemma":[0.000008984761,0.00002166834,0.03511835,0.0001635794,0.00001763789,0.000157445,0.9396732,0.00005685279,0.00008376216,0.0003007206,0.02434224,0.0000556827],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9249552,0.001200384,0.0001785497,0.01368239,0.0001917369,0.00004986685,0.0003367167,0.00001305021,0.05939214],"genre_scores_gemma":[0.9896945,0.0008338748,0.0001590769,0.001739956,0.00002046846,0.00002134803,0.00009989121,0.00002189893,0.0074091],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09803907,"threshold_uncertainty_score":0.7113266,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2253784109626381,"score_gpt":0.4253342400197753,"score_spread":0.1999558290571372,"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."}}