{"id":"W4285739938","doi":"10.1177/16094069221115302","title":"State of the Methods: Leveraging Design Possibilities of Qualitatively Oriented Mixed Methods Research","year":2022,"lang":"en","type":"article","venue":"International Journal of Qualitative Methods","topic":"Health Policy Implementation Science","field":"Health Professions","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Leverage (statistics); Computer science; Management science; Research design; Multimethodology; Design methods; Process (computing); Qualitative research; Key (lock); Data science; Design process; Engineering ethics; Engineering; Artificial intelligence; Sociology; Work in process; Psychology; Mathematics education; Social science","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":[],"domain":null,"study_design":"theoretical_or_conceptual","genre":"methods","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":["metaresearch"],"domain":"methods","study_design":"qualitative","genre":"methods","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.3584903,0.0002158539,0.0008393404,0.001304915,0.0009273821,0.00001719022,0.001933254,0.00005981944,0.0008103145],"category_scores_gemma":[0.09144955,0.0001593653,0.0003169121,0.001946667,0.0009997465,0.0004286547,0.00101915,0.001993037,0.000003057303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001227128,"about_ca_system_score_gemma":0.00374895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006881453,"about_ca_topic_score_gemma":0.00001201726,"domain_scores_codex":[0.5987687,0.392811,0.004270562,0.0003479051,0.003135346,0.000666489],"domain_scores_gemma":[0.7867176,0.1967624,0.005730899,0.0004848802,0.01006611,0.0002380811],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0007458022,0.0001268881,0.0003189675,0.0001495796,0.0003687697,0.000003049078,0.8646058,0.0006182599,0.05234641,0.01944327,0.002491738,0.05878148],"study_design_scores_gemma":[0.001831249,0.0007293133,0.004378368,0.0002721607,0.0000337226,0.00001791454,0.6877673,0.0006312157,0.05425861,0.2257229,0.0241668,0.0001904544],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.09844921,0.0002037356,0.887768,0.008792866,0.003306288,0.0007674244,0.0002514672,0.00001001664,0.000451039],"genre_scores_gemma":[0.05928518,0.00002330976,0.9378418,0.001439138,0.000115723,0.0001343972,0.000002163764,0.00003073779,0.001127506],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2670408,"threshold_uncertainty_score":0.9162036,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9701752505668012,"score_gpt":0.8577569230090645,"score_spread":0.1124183275577367,"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."}}