{"id":"W4401380030","doi":"10.3138/cjpe-2023-0040","title":"Using Dedoose to “Quantitize” Qualitative Data in Mixed Method Analysis: A Case Analysis","year":2024,"lang":"en","type":"article","venue":"Canadian Journal of Program Evaluation","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Qualitative analysis; Computer science; Qualitative research; Sociology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[],"category_scores_codex":[0.2305397,0.001015639,0.001255964,0.006611934,0.004232399,0.008476085,0.003022928,0.002899495,0.001836348],"category_scores_gemma":[0.2406225,0.001365861,0.001574226,0.005789335,0.007907628,0.00743971,0.007195849,0.004323912,0.0007142683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005437535,"about_ca_system_score_gemma":0.00668381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003646531,"about_ca_topic_score_gemma":0.01238647,"domain_scores_codex":[0.7457976,0.2169194,0.01215823,0.002714135,0.0213427,0.001067945],"domain_scores_gemma":[0.5378625,0.4136893,0.008352756,0.01349702,0.02561109,0.0009872828],"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":[0.0002171706,0.0004455083,0.007874468,0.00796691,0.0001991306,0.002954868,0.122391,0.003927448,0.006508774,0.2035375,0.0416726,0.6023047],"study_design_scores_gemma":[0.0002316446,0.001492875,0.008348442,0.01787643,0.0002752701,0.008972373,0.07522983,0.03157005,0.01804302,0.1175309,0.7196639,0.0007653055],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01718652,0.00413346,0.9346295,0.02086906,0.001147139,0.005956963,0.0001480343,0.000671314,0.01525796],"genre_scores_gemma":[0.04977934,0.002624208,0.9365835,0.002296838,0.0001558718,0.006177828,0.0000539816,0.0003293907,0.001999165],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2305397,"threshold_uncertainty_score":0.9488816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7511361533249208,"score_gpt":0.6609219567685167,"score_spread":0.09021419655640406,"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."}}