{"id":"W4411180546","doi":"10.5325/tpnc.2.1.0077","title":"Short Papers from Interpolations 2","year":2025,"lang":"en","type":"article","venue":"Theatre and Performance Notes and Counternotes","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science","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":[0.003202007,0.001368967,0.000864135,0.004682309,0.002938529,0.006103104,0.001164397,0.002129318,0.1373209],"category_scores_gemma":[0.01954464,0.0004536592,0.001259967,0.005365937,0.001003154,0.0032014,0.00306819,0.004874754,0.04042303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004076848,"about_ca_system_score_gemma":0.003049187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002879869,"about_ca_topic_score_gemma":0.002946067,"domain_scores_codex":[0.9958606,0.0007914393,0.0003355556,0.0005845667,0.002093912,0.0003338612],"domain_scores_gemma":[0.985033,0.004063344,0.0006408927,0.0008870894,0.006891566,0.002484096],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001378574,0.00002975521,0.0001037187,0.0002645116,0.00001166852,0.00008823402,0.0002220061,0.0001836648,0.0003713845,0.01406596,0.9372994,0.04722191],"study_design_scores_gemma":[0.00001082294,0.00003152289,0.000300539,0.0001576423,0.000004429023,0.00004829149,0.0001816678,0.00009043953,0.0002303939,0.004172256,0.994761,0.00001106421],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.003419309,0.04332977,0.01255801,0.1207072,0.5732467,0.0003035649,0.004463193,0.0008784598,0.2410938],"genre_scores_gemma":[0.03857126,0.02247236,0.005688701,0.01787203,0.1986707,0.0003913547,0.005408091,0.001625225,0.7093003],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1373209,"threshold_uncertainty_score":0.4593842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009119502431028605,"score_gpt":0.2489764116410234,"score_spread":0.2398569092099948,"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."}}