{"id":"W3136109765","doi":"10.1145/3458553.3458563","title":"The neural hype, justified!","year":2019,"lang":"en","type":"article","venue":"ACM SIGIR Forum","topic":"Topic Modeling","field":"Computer Science","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Eternity; Artificial intelligence; Epistemology; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001521387,0.00007932796,0.00007251287,0.00002047764,0.0001498308,0.0001635771,0.001926131,0.00003451338,0.00001100589],"category_scores_gemma":[0.00008647665,0.00005319456,0.0000466071,0.0001195146,0.00001793985,0.0002625449,0.0007660342,0.0001174136,0.0004801711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000144573,"about_ca_system_score_gemma":0.00002292308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000163954,"about_ca_topic_score_gemma":0.00000813616,"domain_scores_codex":[0.9990839,0.00002055084,0.0001273804,0.0002424669,0.0001859374,0.0003397783],"domain_scores_gemma":[0.9982554,0.0001822257,0.00003963932,0.001449098,0.00002852062,0.00004513586],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00000750716,0.0000215367,0.01166478,0.00001188858,0.00001846261,0.00001032459,0.0003922448,0.001362531,0.001886779,0.3836317,0.01679567,0.5841966],"study_design_scores_gemma":[0.0005147503,0.0001125262,0.005092842,0.00001422098,0.000006880178,0.00003566579,0.0001853601,0.6546699,0.001428831,0.06255719,0.275006,0.0003758006],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7248617,0.000894801,0.178683,0.06088631,0.007459603,0.0005571534,0.000002119616,0.0006111013,0.02604411],"genre_scores_gemma":[0.9888931,0.000006656526,0.006348066,0.001168971,0.00006849533,0.00000591754,4.914191e-7,0.00000653229,0.003501778],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6533074,"threshold_uncertainty_score":0.6171789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01663961322052802,"score_gpt":0.2390605215602842,"score_spread":0.2224209083397562,"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."}}