{"id":"W2403930574","doi":"","title":"Intelius-NYU TAC-KBP2012 Cold Start System","year":2012,"lang":"en","type":"article","venue":"Theory and applications of categories","topic":"Topic Modeling","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Task (project management); Computer science; Focus (optics); Cold war; Adaptation (eye); Cold start (automotive); Voting; Start up; Engineering; Politics","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":[0.004114583,0.002116959,0.001938405,0.004330418,0.002441265,0.004041886,0.004175608,0.001779451,0.0512375],"category_scores_gemma":[0.01504818,0.001415882,0.001069366,0.00377776,0.0006911508,0.008231215,0.004762676,0.003051008,0.06941581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001797597,"about_ca_system_score_gemma":0.003459019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0196213,"about_ca_topic_score_gemma":0.01632087,"domain_scores_codex":[0.9965819,0.0006553821,0.0004584892,0.0007652893,0.001230608,0.0003084431],"domain_scores_gemma":[0.991663,0.001797708,0.000477909,0.002739972,0.003024013,0.0002973923],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001006621,0.0001924492,0.001741308,0.0006777864,0.00007014881,0.0004512784,0.0008385728,0.002406573,0.008613944,0.01067103,0.8520848,0.1212454],"study_design_scores_gemma":[0.0003307165,0.0001221955,0.002769897,0.0002137258,0.00009848989,0.0004520841,0.0005816044,0.09137283,0.02827401,0.01276597,0.862831,0.0001875116],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"software","genre_gemma":"empirical","genre_scores_codex":[0.01330278,0.0007553486,0.3371593,0.001267716,0.0007556804,0.001092185,0.1211818,0.4540431,0.07044216],"genre_scores_gemma":[0.06500169,0.0003704031,0.2939343,0.0006900763,0.0002840136,0.002395646,0.5662997,0.02940205,0.04162214],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0512375,"threshold_uncertainty_score":0.1714065,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01361181840870527,"score_gpt":0.2389731307251368,"score_spread":0.2253613123164315,"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."}}