{"id":"W4386108732","doi":"10.1177/16094069231185452","title":"Performing Qualitative Content Analysis of Video Data in Social Sciences and Medicine: The Visual-Verbal Video Analysis Method","year":2023,"lang":"en","type":"article","venue":"International Journal of Qualitative Methods","topic":"Qualitative Research Methods and Applications","field":"Social Sciences","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Douglas Mental Health University Institute","funders":"","keywords":"Computer science; Coding (social sciences); Grounded theory; Multimodality; Comprehension; Relevance (law); Content analysis; Data science; Multimedia; Qualitative research; World Wide Web","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":[],"consensus_categories":[],"category_scores_codex":[0.04943685,0.0009746448,0.0007933087,0.008163296,0.003293976,0.004579054,0.001933089,0.00124691,0.005009096],"category_scores_gemma":[0.08569404,0.0005732165,0.00101444,0.006945617,0.006017227,0.003657378,0.004536166,0.001640558,0.001133379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005841143,"about_ca_system_score_gemma":0.01099878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00537357,"about_ca_topic_score_gemma":0.00839483,"domain_scores_codex":[0.9491935,0.04107234,0.002168129,0.002571209,0.004314365,0.0006803991],"domain_scores_gemma":[0.917412,0.06341795,0.00412051,0.004109377,0.01026781,0.0006723133],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003820741,0.0003662291,0.008807519,0.006420427,0.0001424464,0.0007714445,0.3701464,0.001877192,0.01430362,0.1059474,0.01298127,0.477854],"study_design_scores_gemma":[0.0004479155,0.0008807064,0.01716235,0.01229799,0.0002606365,0.00126349,0.4921391,0.01916482,0.02443286,0.191964,0.2395387,0.0004473974],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.08282211,0.001471019,0.8579361,0.005137148,0.0004245635,0.0246705,0.002250693,0.0005031053,0.0247847],"genre_scores_gemma":[0.2234951,0.0009761964,0.7284269,0.001428571,0.0001099145,0.04068435,0.0009779471,0.0002109003,0.003690131],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04943685,"threshold_uncertainty_score":0.2614502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8575488829771358,"score_gpt":0.7775700435149074,"score_spread":0.07997883946222839,"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."}}