{"id":"W3092973716","doi":"10.1142/9789812790873_0143","title":"$t\\bar{t}$ PRODUCTION AT THE TEVATRON: EVENT SELECTION AND CROSS SECTION MEASUREMENT","year":2007,"lang":"en","type":"article","venue":"High Energy Physics","topic":"Particle physics theoretical and experimental studies","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Tevatron; Bar (unit); Production (economics); Cross section (physics); Section (typography); Event (particle physics); Selection (genetic algorithm); Computer science; Nuclear physics; Physics; Artificial intelligence; Economics; Operating system","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00197609,0.0008214254,0.0006420524,0.001608943,0.0004904811,0.001842841,0.0009182225,0.0009927138,0.00237773],"category_scores_gemma":[0.003528411,0.0006812172,0.00052694,0.001911403,0.0004864599,0.0006597596,0.001185415,0.0007011777,0.0008321734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008579011,"about_ca_system_score_gemma":0.0002944197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001134059,"about_ca_topic_score_gemma":0.00131905,"domain_scores_codex":[0.9984196,0.000461732,0.0001082018,0.0003317879,0.0005497317,0.0001289257],"domain_scores_gemma":[0.9968411,0.001421204,0.0008650596,0.0003774246,0.0003072736,0.0001878462],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.004146372,0.000308708,0.2298692,0.0006140451,0.0005482584,0.0027473,0.000433098,0.02161341,0.5368728,0.04857632,0.004142337,0.1501281],"study_design_scores_gemma":[0.0003219217,0.000505245,0.2140559,0.0000742456,0.0002532101,0.005023745,0.00008436685,0.1079649,0.6402313,0.01707995,0.0141329,0.0002722754],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7999238,0.001921423,0.1723689,0.0005703637,0.00007884606,0.0001659114,0.003394186,0.001806676,0.0197698],"genre_scores_gemma":[0.9704037,0.000369582,0.02632925,0.00008046431,0.00003634771,0.00005296662,0.001382218,0.0001300013,0.001215482],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00237773,"threshold_uncertainty_score":0.01045066,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01303970066303976,"score_gpt":0.2491915082584025,"score_spread":0.2361518075953628,"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."}}