{"id":"W4319333978","doi":"10.1111/cdoe.12801","title":"How to use mixed methods in oral health research","year":2023,"lang":"en","type":"article","venue":"Community Dentistry And Oral Epidemiology","topic":"Health Policy Implementation Science","field":"Health Professions","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Medicine; Multimethodology; Realm; Qualitative research; Oral health; Management science; Dentistry; Social science; Sociology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":["metaresearch"],"domain":"methods","study_design":"not_applicable","genre":"methods","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"not_applicable","genre":"methods","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts","research_integrity"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.1216378,0.0001476945,0.0007335849,0.0006270183,0.002786619,0.00002810652,0.000609645,0.0002585875,0.00007617748],"category_scores_gemma":[0.133393,0.0001399401,0.00003557827,0.002080289,0.0004076078,0.000289972,0.001380912,0.003125174,0.0003335165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002581586,"about_ca_system_score_gemma":0.0005624212,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02849083,"about_ca_topic_score_gemma":0.05652483,"domain_scores_codex":[0.852581,0.143969,0.001120254,0.0003253467,0.0001887793,0.00181564],"domain_scores_gemma":[0.8813085,0.1166662,0.0002582829,0.0007976781,0.0002149653,0.0007543292],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004033309,0.0000291535,0.5280769,0.000410089,0.000006869212,0.00001333479,0.008478495,0.00000761667,0.0001356317,0.005766062,0.4247847,0.03225083],"study_design_scores_gemma":[0.0003968735,0.0001377023,0.7315787,0.00008582928,0.000001098503,0.000007789345,0.01189864,0.0001828967,0.000005076871,0.006740895,0.2488745,0.0000899778],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.82011,0.00005611285,0.009350286,0.1685177,0.0008099533,0.0008856836,0.00006154199,0.0001138935,0.00009479955],"genre_scores_gemma":[0.7471353,0.0006381135,0.1471397,0.09715916,0.0001537695,0.0006045498,0.0001157008,0.0000414106,0.00701223],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2035018,"threshold_uncertainty_score":0.9991747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9453277389606242,"score_gpt":0.7967801699629851,"score_spread":0.1485475689976391,"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."}}