{"id":"W3211908016","doi":"10.32920/ryerson.14652951.v1","title":"Audio description in the Chinese community","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Subtitles and Audiovisual Media","field":"Arts and Humanities","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Coincidence; Chinese community; Process (computing); Psychology; Computer science; History; China; Medicine","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000466544,0.0001474164,0.0001965275,0.00005203442,0.0002067208,0.000514829,0.0003674933,0.00007337392,0.004306011],"category_scores_gemma":[0.00007249614,0.00008313956,0.0001084873,0.00002867709,0.0000960843,0.00007359475,0.0003141186,0.001047802,0.00006301622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002918212,"about_ca_system_score_gemma":0.00003775008,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0076995,"about_ca_topic_score_gemma":0.0753457,"domain_scores_codex":[0.9990739,0.000343053,0.0001821101,0.0001169769,0.0001568618,0.0001270959],"domain_scores_gemma":[0.9992855,0.0001352841,0.00005658108,0.0004502468,0.00005376669,0.00001866135],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0000169688,0.0008690137,0.005689297,0.0004394399,0.00009333214,0.00005213575,0.8874462,0.0000488641,0.00006388335,0.07035287,0.02611038,0.008817608],"study_design_scores_gemma":[0.0009707852,0.0001647016,0.1592355,0.0009065785,0.0001182691,0.00001696448,0.5575656,0.0006274742,0.00004658749,0.05631509,0.2226641,0.001368348],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7971221,0.0003285049,0.00001654104,0.0005629755,0.001211541,0.0001417741,0.00000949912,0.00003392036,0.2005732],"genre_scores_gemma":[0.9936228,0.00007414266,0.00003193805,0.00112121,0.0007260577,0.00004158728,0.0001444763,0.00001117405,0.004226624],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3298806,"threshold_uncertainty_score":0.9989083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1059183434949066,"score_gpt":0.2888574413794246,"score_spread":0.182939097884518,"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."}}