{"id":"W7026722403","doi":"","title":"Anthony Shim + Aryana Sayeed & Fazila Amiri","year":2023,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Film director; Shim (computing); Comedy; Defamiliarization; Tragedy (event)","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002914284,0.0005161153,0.0002218418,0.0007406503,0.003738703,0.002498693,0.0003649289,0.0007660026,0.4115161],"category_scores_gemma":[0.0009493898,0.0002729683,0.0001041628,0.0007131664,0.0003919575,0.001859998,0.001373322,0.001415051,0.1983865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001022014,"about_ca_system_score_gemma":0.0008684215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01890755,"about_ca_topic_score_gemma":0.067922,"domain_scores_codex":[0.999808,0.00002233397,0.000004909287,0.00003336071,0.00008942088,0.00004205205],"domain_scores_gemma":[0.9996617,0.00004774099,0.00001875623,0.00002129547,0.0001248117,0.0001258386],"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":[0.000007406125,0.000005170525,0.00005213104,0.00002815943,3.272517e-7,0.00003484978,0.0002327726,0.000004446564,0.0001235376,0.0009941611,0.9814074,0.01710962],"study_design_scores_gemma":[9.753759e-7,0.000002164775,0.0002202626,0.00002182554,4.677999e-7,0.00004268712,0.0003404505,0.000008689411,0.00008193179,0.0000743291,0.9992047,0.000001632566],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001226044,0.002707034,0.0001860899,0.007957916,0.002389976,0.00003311486,0.0006281451,0.0003586869,0.9845129],"genre_scores_gemma":[0.003109246,0.000886866,0.0001008617,0.0004639697,0.0001743198,0.000008338116,0.0001122808,0.0001342665,0.9950098],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5884839,"threshold_uncertainty_score":0.8394008,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01094909342617085,"score_gpt":0.2117348826409338,"score_spread":0.200785789214763,"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."}}