{"id":"W7043787926","doi":"","title":"TEASER - 153: Godzilla Minus One (with Ben Clarkson)","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":"Hollywood; Filmmaking; Film industry; Storytelling; Style (visual arts); Verisimilitude; Government (linguistics); Wonder; Witness; Pathos","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":[],"category_scores_codex":[0.0002376278,0.0004815636,0.0001914302,0.0004612718,0.003486885,0.003127228,0.0005026342,0.001066287,0.4840204],"category_scores_gemma":[0.000906399,0.0002525965,0.0001561484,0.0003648394,0.0004258897,0.002019224,0.002599987,0.001732038,0.1599697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001013884,"about_ca_system_score_gemma":0.0005213751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01150602,"about_ca_topic_score_gemma":0.05227742,"domain_scores_codex":[0.9998424,0.00001746594,0.000003001909,0.00002582363,0.00005392819,0.00005738786],"domain_scores_gemma":[0.9997193,0.00001907251,0.00001079843,0.00001525727,0.00005058074,0.00018492],"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":[0.00001736679,0.000008335011,0.0000794511,0.00002155342,7.362285e-7,0.0001009804,0.0003948988,0.000005450321,0.0002278722,0.001457457,0.9855804,0.01210545],"study_design_scores_gemma":[0.000001468041,0.000003611525,0.0002548235,0.00001997745,4.002745e-7,0.00005433837,0.0003854226,0.000007494151,0.00006142552,0.00007387756,0.9991356,0.000001714101],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004145294,0.003202529,0.0006451795,0.01497559,0.008581483,0.0001003991,0.000970985,0.001693047,0.9656854],"genre_scores_gemma":[0.009815522,0.0006547204,0.0003266233,0.001828824,0.0007102833,0.00002602026,0.0003684065,0.0006647093,0.9856049],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4840204,"threshold_uncertainty_score":0.7359822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007744237528246714,"score_gpt":0.1850263584339958,"score_spread":0.1772821209057491,"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."}}