{"id":"W2805100503","doi":"","title":"Improve Neural Mention Detection and Classification via Enforced Training and Inference Consistency.","year":2017,"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":"Consistency (knowledge bases); Computer science; Inference; Artificial intelligence; Machine learning; Training (meteorology); Training set; Pattern recognition (psychology)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007088098,0.00131601,0.002155797,0.002664467,0.001300812,0.002504094,0.005227287,0.003598128,0.004136152],"category_scores_gemma":[0.05398464,0.0008874874,0.001377996,0.002699913,0.001241444,0.006437554,0.00367275,0.005073553,0.003063086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00129187,"about_ca_system_score_gemma":0.00283182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006269614,"about_ca_topic_score_gemma":0.01167009,"domain_scores_codex":[0.9943643,0.002135258,0.0003750117,0.001551213,0.001158465,0.0004157044],"domain_scores_gemma":[0.9668299,0.02174673,0.001327424,0.005949477,0.003486008,0.0006604336],"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":[0.001544732,0.0007798393,0.01204285,0.0004774927,0.0006161726,0.000286367,0.0004401167,0.1190369,0.009299121,0.02770668,0.04597896,0.7817909],"study_design_scores_gemma":[0.00005436219,0.00006837189,0.001106655,0.00004534665,0.00008932807,0.0001076095,0.00005091712,0.9578297,0.00395311,0.03441053,0.002263573,0.00002057169],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04614866,0.002280039,0.9359657,0.001780975,0.0005002999,0.0001398756,0.00092176,0.008933196,0.003329591],"genre_scores_gemma":[0.6724212,0.0006783665,0.3093724,0.001401896,0.001234758,0.0002451787,0.006403673,0.001090945,0.007151506],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007088098,"threshold_uncertainty_score":0.0374859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02995055309663209,"score_gpt":0.2787405406084506,"score_spread":0.2487899875118185,"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."}}