{"id":"W3136031313","doi":"10.21083/csieci.v14i1.6425","title":"Prepared for the Worst . . . and the Best","year":2021,"lang":"en","type":"article","venue":"Critical Studies in Improvisation / Études critiques en improvisation","topic":"Radio, Podcasts, and Digital Media","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Improvisation; Zoom; Distancing; The Internet; Computer science; Videoconferencing; Multimedia; Visual arts; Sociology; Media studies; Coronavirus disease 2019 (COVID-19); Art; World Wide Web; Engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.004460083,0.0009541875,0.0006427189,0.0008936721,0.01906893,0.01620896,0.001328284,0.003843411,0.02336226],"category_scores_gemma":[0.009509506,0.00031155,0.0004853464,0.0005601149,0.02180499,0.01273627,0.01056984,0.01183764,0.008171113],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002723804,"about_ca_system_score_gemma":0.003195765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00407025,"about_ca_topic_score_gemma":0.008570489,"domain_scores_codex":[0.995182,0.002329379,0.0001033608,0.0005935988,0.0006964448,0.001095274],"domain_scores_gemma":[0.9968052,0.0006201722,0.0002723888,0.00043417,0.0006412505,0.001226874],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001000292,0.0001037235,0.001723855,0.0003042218,0.00007382247,0.0005513146,0.2366528,0.0002358277,0.002078627,0.3725469,0.3309175,0.05471138],"study_design_scores_gemma":[0.000008749588,0.00004114743,0.000503498,0.0002401726,0.00001392895,0.0002641433,0.1298603,0.00007057655,0.0004690558,0.02987397,0.8386092,0.0000453418],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03332812,0.003927302,0.01054451,0.2602971,0.01466738,0.0001257739,0.0001581429,0.0004242734,0.6765274],"genre_scores_gemma":[0.5394383,0.001992967,0.006499636,0.0451369,0.001741055,0.0001331488,0.0001440003,0.0008744902,0.4040394],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02336226,"threshold_uncertainty_score":0.0781545,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1119151576097147,"score_gpt":0.4469366985727805,"score_spread":0.3350215409630658,"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."}}