{"id":"W4410381835","doi":"10.2196/72815","title":"AI in Qualitative Health Research Appraisal: Comparative Study","year":2025,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Preprint; Qualitative research; Computer science; Management science; Psychology; Data science; Engineering; Sociology; World Wide Web; Social science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.5654892,0.001410023,0.004488668,0.01470268,0.005726331,0.01111952,0.004299241,0.003093873,0.008474094],"category_scores_gemma":[0.670977,0.001854876,0.002853409,0.0196104,0.01275818,0.01292783,0.01254805,0.002985865,0.0008585652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02406294,"about_ca_system_score_gemma":0.0478322,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004418317,"about_ca_topic_score_gemma":0.005204048,"domain_scores_codex":[0.2019362,0.7468846,0.03013348,0.006260882,0.0130248,0.001760033],"domain_scores_gemma":[0.1488731,0.7616742,0.02802376,0.01811514,0.04075037,0.002563424],"domain_codex":"methods","domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.001323418,0.0003868586,0.01218082,0.2032529,0.00248033,0.0006527343,0.3944247,0.002153855,0.0009521584,0.09073608,0.01000603,0.2814502],"study_design_scores_gemma":[0.001561272,0.002107046,0.0146469,0.3516101,0.002473114,0.001435834,0.3482491,0.009553729,0.001966944,0.14314,0.1226352,0.0006206259],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1043105,0.1878698,0.4588475,0.05023528,0.005486539,0.1475813,0.002816504,0.0006665176,0.0421861],"genre_scores_gemma":[0.4668531,0.02841354,0.3512481,0.004987848,0.0005673268,0.146233,0.0005140281,0.0001710577,0.001011987],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4345108,"threshold_uncertainty_score":0.5358292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7462045830454616,"score_gpt":0.7543745958166651,"score_spread":0.00817001277120355,"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."}}