{"id":"W4410019415","doi":"10.1002/jgc4.70031","title":"Using mixed methods for genetic counseling research","year":2025,"lang":"en","type":"article","venue":"Journal of Genetic Counseling","topic":"Health Policy Implementation Science","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research; BC Mental Health and Substance Use Services","keywords":"Genetic counseling; Multimethodology; Qualitative research; Management science; Research design; Field (mathematics); Data collection; Computer science; Data science; Engineering ethics; Psychology; Sociology; Social science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts"],"consensus_categories":[],"category_scores_codex":[0.02996684,0.0001755492,0.0005182435,0.0009845011,0.001878559,0.00006050582,0.0006086099,0.0001919105,0.0001788569],"category_scores_gemma":[0.007294627,0.0001621756,0.0001435899,0.001258445,0.0001319631,0.0001305177,0.00008425018,0.001034578,0.00001541707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006521837,"about_ca_system_score_gemma":0.005635693,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001353473,"about_ca_topic_score_gemma":0.00007733767,"domain_scores_codex":[0.9912363,0.003718304,0.002644843,0.0003179229,0.0008895533,0.001193024],"domain_scores_gemma":[0.9806608,0.01330284,0.001014522,0.000379388,0.004320808,0.0003216289],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008700953,0.0001853285,0.01937395,0.004027387,0.000400657,0.00003853666,0.09133223,0.01726881,0.199705,0.001391793,0.08936389,0.5760423],"study_design_scores_gemma":[0.004763885,0.0004884379,0.009912799,0.00237166,0.0002335908,0.00007907794,0.03449544,0.1037867,0.001659999,0.02422569,0.8175077,0.0004749761],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.372508,0.001766241,0.6200316,0.002431922,0.002311473,0.0007744389,0.000007123357,0.00001334202,0.0001558402],"genre_scores_gemma":[0.1167538,0.001147857,0.8751712,0.005253014,0.001122591,0.00006624105,5.492229e-7,0.00003911485,0.0004455659],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7281438,"threshold_uncertainty_score":0.9997477,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7312894642404754,"score_gpt":0.7646727055053661,"score_spread":0.03338324126489078,"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."}}