{"id":"W4400439460","doi":"10.5465/amproc.2024.12952symposium","title":"Exploring Opportunities & Challenges in Qualitative Meta-Studies","year":2024,"lang":"en","type":"article","venue":"Academy of Management Proceedings","topic":"Qualitative Research Methods and Applications","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal","funders":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek","keywords":"Qualitative research; Medicine; Psychology; Engineering ethics; Sociology; Engineering; 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":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.8677286,0.004934755,0.01110011,0.02996097,0.01288802,0.03957446,0.01597597,0.01398664,0.006827278],"category_scores_gemma":[0.9088835,0.007457399,0.009560424,0.03239795,0.04799125,0.04806001,0.03579678,0.01768601,0.001233763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02542628,"about_ca_system_score_gemma":0.05768696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005818873,"about_ca_topic_score_gemma":0.009868265,"domain_scores_codex":[0.0575143,0.8820031,0.03398895,0.008373947,0.01700508,0.001114756],"domain_scores_gemma":[0.02658905,0.913665,0.0123934,0.0278984,0.0183827,0.001071439],"domain_codex":"methods","domain_gemma":"methods","domain_candidate":"methods","domain_consensus":"methods","study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0006283297,0.0002144837,0.005341299,0.1014438,0.009662868,0.001265312,0.1701312,0.00414948,0.000725584,0.4798755,0.01705117,0.209511],"study_design_scores_gemma":[0.0004200462,0.0002649971,0.0008915847,0.1019861,0.002728405,0.0007789262,0.045063,0.009190505,0.001066374,0.7653054,0.07195325,0.0003513538],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00619775,0.09950561,0.6690434,0.1922376,0.008928544,0.0116309,0.0007664291,0.0005106741,0.01117916],"genre_scores_gemma":[0.1192326,0.02445565,0.7801187,0.0283851,0.002177019,0.04394353,0.000352529,0.0004361892,0.0008986164],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1322714,"threshold_uncertainty_score":0.1844814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9533971389822973,"score_gpt":0.6330498112984647,"score_spread":0.3203473276838326,"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."}}