{"id":"W4391943565","doi":"10.3390/arts13010037","title":"Viewpoints/Points of View: Building a Transdisciplinary Data Theatre Collaboration in Six Scenes","year":2024,"lang":"en","type":"article","venue":"Arts","topic":"Participatory Visual Research Methods","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Deliberation; Viewpoints; Citizen journalism; Qualitative property; Sociology; Bridging (networking); Computer science; World Wide Web; Visual arts; Political science; Politics; Art","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":[0.02410998,0.001634953,0.0007558485,0.002345136,0.01530356,0.01540846,0.003934023,0.003836483,0.01041328],"category_scores_gemma":[0.03814638,0.001043631,0.001745332,0.001239,0.02115377,0.0118907,0.02302134,0.006318552,0.00257038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003585709,"about_ca_system_score_gemma":0.00423804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00194409,"about_ca_topic_score_gemma":0.003539134,"domain_scores_codex":[0.9524313,0.03931462,0.0005615099,0.002584652,0.002803009,0.002304839],"domain_scores_gemma":[0.9759853,0.01460972,0.0008577696,0.002574766,0.001701971,0.004270539],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001580406,0.0002699982,0.00152758,0.0003846183,0.00003343708,0.001816376,0.9025121,0.0007687305,0.005627415,0.04062455,0.009066666,0.03721052],"study_design_scores_gemma":[0.00008874062,0.000332987,0.001386575,0.0005272838,0.00004917853,0.001530693,0.6394858,0.003241486,0.004047595,0.02823549,0.3209208,0.0001533097],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4540637,0.0009426087,0.3279711,0.01985119,0.001945012,0.003171355,0.0005046225,0.001468847,0.1900816],"genre_scores_gemma":[0.8035206,0.0003857078,0.1715928,0.001435927,0.0001608382,0.001126007,0.0003260858,0.000782009,0.02066996],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02410998,"threshold_uncertainty_score":0.1275073,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5613768062880193,"score_gpt":0.661751587353497,"score_spread":0.1003747810654777,"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."}}