{"id":"W4416000436","doi":"10.5465/amproc.2025.69bp","title":"When and How Domain Experts Integrate AI? Building Theory with Qualitative Comparative Meta-Analysis","year":2025,"lang":"en","type":"article","venue":"Academy of Management Proceedings","topic":"Qualitative Comparative Analysis Research","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; University of Ottawa","funders":"","keywords":"Sociotechnical system; Domain (mathematical analysis); Perspective (graphical); Qualitative research; Qualitative comparative analysis; Qualitative analysis; Qualitative reasoning; Information system; Ethnography","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.007576028,0.0003117298,0.00131018,0.001295507,0.0005437972,0.0002883839,0.000671552,0.0001039708,0.0003144872],"category_scores_gemma":[0.0001892283,0.000227307,0.000410544,0.003111386,0.001659883,0.0009559541,0.0002843619,0.0003339463,0.000004221596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001244046,"about_ca_system_score_gemma":0.00003459695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001061042,"about_ca_topic_score_gemma":0.00007549462,"domain_scores_codex":[0.9961181,0.001219711,0.0004021328,0.0007265938,0.001056826,0.0004766469],"domain_scores_gemma":[0.9977815,0.001117998,0.0003828738,0.00009872259,0.0004877954,0.0001310891],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001093625,0.00004302062,0.0002215993,0.00006565706,0.07408064,5.548712e-7,0.1520908,0.000005545654,0.0001628556,0.7639361,0.009076096,0.000207762],"study_design_scores_gemma":[0.000406558,0.00006804925,0.0005311249,0.00003741971,0.03119319,7.365262e-8,0.6212896,0.00008934622,0.001525483,0.3049294,0.03962684,0.00030291],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2819844,0.00688692,0.2029682,0.183799,0.00003164392,0.003825736,0.00003522719,0.0002347928,0.3202341],"genre_scores_gemma":[0.9631348,0.0001580662,0.0118825,0.000941121,0.00001729012,0.0002613408,0.000002472051,0.000009994082,0.02359238],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6811504,"threshold_uncertainty_score":0.926931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1938314861611144,"score_gpt":0.492657318412123,"score_spread":0.2988258322510086,"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."}}