{"id":"W7154014708","doi":"10.1145/3772318.3808916","title":"10.1145/3772318.3808916","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Subtitles and Audiovisual Media","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Session (web analytics); Conversation analysis; Component (thermodynamics); Key (lock)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002060186,0.003622661,0.002464791,0.002625816,0.002997944,0.005891839,0.003296768,0.005833143,0.9611849],"category_scores_gemma":[0.003498406,0.002297189,0.001482485,0.008027516,0.001725975,0.01229574,0.00729784,0.002723011,0.9789057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002667549,"about_ca_system_score_gemma":0.001252946,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01672042,"about_ca_topic_score_gemma":0.01496453,"domain_scores_codex":[0.9991962,0.00005145422,0.00007124837,0.000241688,0.0002479419,0.0001913796],"domain_scores_gemma":[0.9981399,0.0003413349,0.00007683878,0.0006313372,0.0003947275,0.0004158578],"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":[0.0002276958,0.0001561682,0.0004386391,0.0005704817,0.00003699163,0.0001764417,0.0001030357,0.0004276714,0.00122149,0.005811634,0.710334,0.2804957],"study_design_scores_gemma":[0.00003195978,0.00002781172,0.0007020372,0.0002121371,0.00003306695,0.0001074796,0.00008466461,0.0004898933,0.0004014667,0.001142252,0.9967334,0.00003384494],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001277359,0.00304773,0.007402588,0.0009046745,0.001896391,0.0003431024,0.01015327,0.01527125,0.9597036],"genre_scores_gemma":[0.002220121,0.001445177,0.001158286,0.0004899134,0.0001115519,0.0001614741,0.005161794,0.001874341,0.9873773],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03881508,"threshold_uncertainty_score":0.05536503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01484175461831064,"score_gpt":0.1775849082095884,"score_spread":0.1627431535912778,"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."}}