{"id":"W2801129086","doi":"10.1177/0002764218772672","title":"Arts and Mixed Methods Research: An Innovative Methodological Merger","year":2018,"lang":"en","type":"article","venue":"American Behavioral Scientist","topic":"Participatory Visual Research Methods","field":"Social Sciences","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research","keywords":"The arts; Transformative learning; Conceptual blending; Sociology; Conceptual framework; Social integration; Epistemology; Data science; Computer science; Management science; Psychology; Social science; Visual arts; Engineering; Pedagogy; Art; Cognition","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts"],"consensus_categories":["sts"],"category_scores_codex":[0.0519926,0.0001867056,0.0004216089,0.0004436472,0.002369011,0.000399356,0.0007358281,0.0001048869,0.0007225869],"category_scores_gemma":[0.008178344,0.0001621071,0.00005310901,0.005886881,0.02617962,0.0006067796,0.0004800922,0.0005264942,0.00009786104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002283966,"about_ca_system_score_gemma":0.0004463254,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01206375,"about_ca_topic_score_gemma":0.004393254,"domain_scores_codex":[0.9742723,0.02150217,0.0003531231,0.0008847475,0.001552447,0.001435281],"domain_scores_gemma":[0.9950899,0.00179512,0.000161428,0.0005025295,0.001454464,0.0009965041],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008131047,0.0004065872,0.01691381,0.000002474031,0.00001238513,0.00003123967,0.01946177,8.082476e-8,0.1050171,0.02179484,0.002866857,0.8334116],"study_design_scores_gemma":[0.0004161427,0.003784027,0.3639883,0.0000241199,0.00004030314,0.000007102735,0.04692487,0.0001012963,0.03604539,0.005314834,0.5425571,0.0007966182],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9858254,0.00003339833,0.005703571,0.000744978,0.0006254892,0.0003897228,0.00001193485,0.0001244801,0.006541065],"genre_scores_gemma":[0.730942,0.00001235492,0.2677057,0.0001367008,0.0002885632,0.00007368217,0.000003163864,0.00001740092,0.0008203953],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.832615,"threshold_uncertainty_score":0.9989298,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9270085133503567,"score_gpt":0.7910406550582494,"score_spread":0.1359678582921073,"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."}}