{"id":"W2736424943","doi":"","title":"“‘Infantilism by Loss’: The Ghostly Child, Loss, and Embodied Witnessing in 'The Ever After of Ashwin Rao'”","year":2016,"lang":"en","type":"article","venue":"MacSphere (McMaster University)","topic":"South Asian Cinema and Culture","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Embodied cognition; Medicine; Computer science; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006627823,0.0006591264,0.0005788339,0.0006995038,0.01633873,0.009765705,0.002413026,0.006568283,0.003858843],"category_scores_gemma":[0.01689284,0.0005459691,0.0002924939,0.0006114519,0.04620302,0.0123595,0.009766554,0.01734727,0.0004555625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003263881,"about_ca_system_score_gemma":0.004628886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01343461,"about_ca_topic_score_gemma":0.0262629,"domain_scores_codex":[0.9957834,0.003002956,0.00006446475,0.0002172188,0.0003243819,0.0006075505],"domain_scores_gemma":[0.9951734,0.002927212,0.000676005,0.0003441064,0.0002455497,0.0006338079],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002870948,0.00001632498,0.0003723891,0.00006202295,0.000006476594,0.000784752,0.8199628,0.00003202603,0.0001397949,0.1519443,0.02125785,0.00539254],"study_design_scores_gemma":[0.00001547063,0.0000409429,0.001270084,0.0005505669,0.00001762436,0.002622634,0.7150165,0.00009237252,0.0002854471,0.03756929,0.2424784,0.00004056396],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3021102,0.03882556,0.005379586,0.3501559,0.005097292,0.00008757141,0.00008748293,0.0001372712,0.2981192],"genre_scores_gemma":[0.9534643,0.004885162,0.000837593,0.01434065,0.0007220868,0.00005261152,0.00002045172,0.0001082731,0.02556885],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01633873,"threshold_uncertainty_score":0.0350517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007607614605766149,"score_gpt":0.1688413585237678,"score_spread":0.1612337439180017,"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."}}