{"id":"W2169943263","doi":"10.1177/1049732306289705","title":"Finding Common Ground in Team-Based Qualitative Research Using the Convergent Interviewing Method","year":2006,"lang":"en","type":"article","venue":"Qualitative Health Research","topic":"Qualitative Research Methods and Ethics","field":"Social Sciences","cited_by":77,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; McMaster University; University of Manitoba","funders":"","keywords":"Common ground; Interview; Multidisciplinary approach; Qualitative research; Process (computing); Management science; Engineering ethics; Multidisciplinary team; Discipline; Face (sociological concept); Grounded theory; Knowledge management; Epistemology; Sociology; Data science; Psychology; Computer science; Medicine; Social psychology; Social science; Engineering; Nursing","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":"not_applicable","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":"medium","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","sts","research_integrity"],"consensus_categories":["metaresearch","sts"],"category_scores_codex":[0.5920883,0.0003454672,0.0009179997,0.001973209,0.00714486,0.0005469311,0.001476052,0.0003580911,0.0002866547],"category_scores_gemma":[0.0307789,0.0002775863,0.0002289424,0.007560316,0.00758821,0.0005461105,0.0004566163,0.006031809,0.00009709434],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.005050411,"about_ca_system_score_gemma":0.006471933,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.318542,"about_ca_topic_score_gemma":0.05396986,"domain_scores_codex":[0.4942834,0.4909954,0.00185494,0.001165604,0.007550184,0.004150465],"domain_scores_gemma":[0.8307435,0.1637911,0.0004023743,0.0007573627,0.003625713,0.0006799125],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001314177,0.0002304002,0.0001939539,0.0003506246,0.00002166944,0.000009613717,0.6238413,0.0000809749,0.0002073725,0.3674089,0.003071336,0.004452363],"study_design_scores_gemma":[0.0006047792,0.0003315466,0.0004454382,0.0005633038,0.000002279773,5.359956e-7,0.7196445,0.002714413,0.0001471405,0.2515792,0.02372767,0.0002391284],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3668735,0.0111954,0.2221373,0.3348001,0.0008930804,0.01182541,0.0002636022,0.0002561055,0.05175556],"genre_scores_gemma":[0.907136,0.0005353675,0.08687954,0.001103907,0.0006482463,0.0007356231,0.00004581871,0.000114905,0.002800546],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5613095,"threshold_uncertainty_score":0.9999676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9115874978622442,"score_gpt":0.7988321702724257,"score_spread":0.1127553275898185,"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."}}