{"id":"W6902908320","doi":"10.7916/d8-tagz-v211","title":"BF4044","year":2021,"lang":"en","type":"article","venue":"Columbia Academic Commons (Columbia University)","topic":"Gothic Literature and Media Analysis","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Politics; Government (linguistics); Interview; Public access","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005296245,0.0001254791,0.000358018,0.0001531927,0.001452158,0.0003656915,0.0008081366,0.0005726625,0.003678438],"category_scores_gemma":[0.0005723902,0.0002539296,0.0002734093,0.002727675,0.0004668475,0.0004800158,0.0002673386,0.001033106,0.0001286946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003826084,"about_ca_system_score_gemma":0.001190998,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.05025499,"about_ca_topic_score_gemma":0.6565237,"domain_scores_codex":[0.9973971,0.0006546298,0.0002476063,0.0005250358,0.0005232079,0.0006524145],"domain_scores_gemma":[0.9981368,0.0003437625,0.0001338842,0.0005004986,0.0003673776,0.0005176581],"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":[0.00002047508,0.0002350571,0.3712038,0.00004070196,0.0003498046,0.001326251,0.01486119,0.000005289663,0.0009641629,0.02989447,0.5630304,0.01806843],"study_design_scores_gemma":[0.0004604767,0.00001453229,0.009594842,0.00004890346,0.00019611,0.00000622426,0.007655275,0.00001234087,0.00002317264,0.001598478,0.9800909,0.0002987502],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3531533,0.0006681806,0.0001545937,0.005210149,0.0009857675,0.0003249946,0.00004804571,0.0003673874,0.6390876],"genre_scores_gemma":[0.5416443,0.0006742682,0.0002053815,0.0006177645,0.000325939,0.00000204658,0.00002976284,0.00001658685,0.456484],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.6062687,"threshold_uncertainty_score":0.9999913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01978522995252381,"score_gpt":0.2515521724314426,"score_spread":0.2317669424789188,"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."}}