{"id":"W1894938496","doi":"10.22230/src.2012v3n3a96","title":"The Text and the Line of Action: Re-conceiving Watching the Script","year":2012,"lang":"en","type":"article","venue":"Scholarly and Research Communication","topic":"Subtitles and Audiovisual Media","field":"Arts and Humanities","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Action (physics); Object (grammar); Set (abstract data type); Variety (cybernetics); Space (punctuation); Computer science; Literal (mathematical logic); Stylized fact; Visualization; Human–computer interaction; Linguistics; Artificial intelligence; Philosophy; Physics; Programming language","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.006834386,0.00004795155,0.00006790202,0.0000257401,0.003097627,0.0008094977,0.0003710904,0.00002546932,0.00006861604],"category_scores_gemma":[0.0008276215,0.00001923665,0.00002337015,0.00005032454,0.001560837,0.0007659517,0.0002940844,0.0007038232,0.000008884925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001036225,"about_ca_system_score_gemma":0.00001699042,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000558579,"about_ca_topic_score_gemma":0.0009973055,"domain_scores_codex":[0.9984362,0.0009130652,0.0001346592,0.00005674613,0.0002865663,0.000172762],"domain_scores_gemma":[0.9970415,0.00217766,0.00005769226,0.0004479304,0.0002392134,0.00003603671],"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":[0.0001222263,0.00004556359,0.00107173,0.00003110285,0.00005735521,7.201832e-8,0.1721308,4.045706e-7,0.0005620057,0.6506424,0.003723199,0.1716132],"study_design_scores_gemma":[0.000487058,0.00005404288,0.007489423,0.0001026728,0.00001733236,0.000002800842,0.1081486,0.0001932077,0.0003730715,0.01271089,0.870352,0.00006885359],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8236556,0.08688147,0.00001071627,0.05393253,0.0003207895,0.000482846,0.000003940597,0.00001929101,0.03469284],"genre_scores_gemma":[0.9880351,0.009154351,0.00001648239,0.000115688,0.0003106103,0.00002542159,0.000001928785,0.000005506293,0.002334927],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8666288,"threshold_uncertainty_score":0.9982002,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2388088352719251,"score_gpt":0.3971284398112424,"score_spread":0.1583196045393172,"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."}}