{"id":"W4409464565","doi":"10.1177/16094069251333335","title":"AI-Image Generation in Research Interviews: Opportunities and Challenges","year":2025,"lang":"en","type":"article","venue":"International Journal of Qualitative Methods","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Universidade Federal do Paraná; Mitacs; Carleton University","keywords":"Image (mathematics); Computer science; Sociology; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.2645799,0.001692724,0.001372304,0.004283385,0.02258933,0.01828499,0.00738404,0.005937879,0.004490631],"category_scores_gemma":[0.2267771,0.002034816,0.001240956,0.00437983,0.03724594,0.01643836,0.02090256,0.005506934,0.001028596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01544609,"about_ca_system_score_gemma":0.01491265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009397428,"about_ca_topic_score_gemma":0.01459631,"domain_scores_codex":[0.5938647,0.3767907,0.006827863,0.006234739,0.009116597,0.007165506],"domain_scores_gemma":[0.5840806,0.3762879,0.01234572,0.009410372,0.01282215,0.005053253],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004996103,0.00003772818,0.001307169,0.000642431,0.000008719755,0.0006857036,0.9728812,0.0001505219,0.0006119355,0.01100363,0.0005433985,0.01207768],"study_design_scores_gemma":[0.00002190032,0.00004628209,0.0005539638,0.0009777175,0.000009153831,0.0005948261,0.9662932,0.0007538719,0.0006504756,0.01274233,0.01731493,0.00004121663],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5505723,0.009285168,0.3097229,0.06968076,0.001401279,0.006322777,0.0004511903,0.0004941427,0.05206941],"genre_scores_gemma":[0.927938,0.002322201,0.05516025,0.004223156,0.0002535942,0.006417862,0.0001113211,0.0002095432,0.003364012],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7354201,"threshold_uncertainty_score":0.9069039,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9748598769782045,"score_gpt":0.786298270156538,"score_spread":0.1885616068216666,"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."}}