{"id":"W4380874239","doi":"10.3138/ctr.121.010","title":"Laura Nanni’s <i>Automatic Tourist 2004</i>","year":2005,"lang":"en","type":"article","venue":"Canadian Theatre Review","topic":"Travel Writing and Literature","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tourism; Institution; Class (philosophy); Point (geometry); Work (physics); Visual arts; Sociology; Art; Media studies; History; Engineering; Social science; Computer science; Archaeology; Artificial intelligence; Mathematics; Mechanical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000172191,0.0001699435,0.0002810012,0.00007223804,0.0002829508,0.0001782675,0.0001952586,0.00004101236,0.008409426],"category_scores_gemma":[0.00001376564,0.0001352772,0.0001280083,0.00005849471,0.00007164397,0.0001287296,0.000006379541,0.0001802159,0.00119596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001023834,"about_ca_system_score_gemma":0.0001904338,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01014662,"about_ca_topic_score_gemma":0.2240766,"domain_scores_codex":[0.9990408,0.00005031972,0.0002614644,0.0001751875,0.0001034718,0.0003687382],"domain_scores_gemma":[0.9992365,0.00002444547,0.00005185404,0.000301524,0.00005469317,0.0003309483],"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":[2.301618e-7,0.000008057936,0.000008112976,0.0008607202,0.0000152148,0.00002039251,0.001105803,2.524588e-7,3.352165e-7,0.02149017,0.6330657,0.343425],"study_design_scores_gemma":[0.00007028818,0.00001116653,0.00001001202,0.003414875,0.00004748502,0.0000262991,0.0001135258,0.000009582136,0.000001069191,0.00008581285,0.9960269,0.0001829338],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0002397875,0.407744,3.737354e-7,0.01495289,0.0002213415,0.0002490562,0.0001685875,0.0000989031,0.5763251],"genre_scores_gemma":[0.4533283,0.05760888,0.0006145746,0.1903699,0.01350336,0.0001979551,0.0005052543,0.0002482907,0.2836235],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.4530885,"threshold_uncertainty_score":0.9995817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01378308514327913,"score_gpt":0.2150366139357115,"score_spread":0.2012535287924324,"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."}}