{"id":"W2806148218","doi":"","title":"CMU-LTI at KBP 2015 Event Track.","year":2015,"lang":"en","type":"article","venue":"Theory and applications of categories","topic":"Topic Modeling","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Track (disk drive); Computer science; Event (particle physics); Physics; Operating system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005676424,0.00006827504,0.00009885246,0.00003613979,0.00008251477,0.00002449457,0.0003581396,0.00003167855,0.000008000947],"category_scores_gemma":[0.00002123391,0.00006014855,0.00002055101,0.0001206144,0.0001092409,0.0001753922,0.0001716783,0.00004286186,0.00002608341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001683573,"about_ca_system_score_gemma":0.00004393331,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000854238,"about_ca_topic_score_gemma":0.000002994979,"domain_scores_codex":[0.9994017,0.00004891939,0.0001561212,0.0001779871,0.0001150637,0.0001002027],"domain_scores_gemma":[0.9992108,0.00008823146,0.00006621564,0.0004720324,0.00008384636,0.00007892435],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000007497871,0.00001997813,0.00007568368,0.000008008143,0.000004656229,1.466853e-7,0.0009813424,0.0001124574,0.0001920994,0.9750863,0.0002939216,0.02321789],"study_design_scores_gemma":[0.000165588,0.00002441978,0.0001394766,0.000003334082,0.000006602892,0.000009527865,0.000307385,0.00127493,0.006549746,0.9667567,0.02466406,0.00009821004],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03722955,0.001168234,0.9557652,0.0006265325,0.00004972125,0.0001655622,0.000002889783,0.00007317029,0.004919081],"genre_scores_gemma":[0.9930031,0.00002450242,0.005361394,0.00005705051,0.00004253745,0.00006987449,0.000003030038,0.00000393646,0.001434582],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9557735,"threshold_uncertainty_score":0.2452787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02027633939437049,"score_gpt":0.2751628017077324,"score_spread":0.254886462313362,"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."}}