{"id":"W2123418748","doi":"10.1103/physrevlett.103.191803","title":"Measurement of Dijet Angular Distributions at<mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\"><mml:msqrt><mml:mi>s</mml:mi></mml:msqrt><mml:mo>=</mml:mo><mml:mn>1.96</mml:mn><mml:mtext> </mml:mtext><mml:mtext> </mml:mtext><mml:mi>TeV</mml:mi></mml:math>and Searches for Quark Compositeness and Extra Spatial Dimensions","year":2009,"lang":"lv","type":"article","venue":"Physical Review Letters","topic":"Particle physics theoretical and experimental studies","field":"Physics and Astronomy","cited_by":103,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; York University; Simon Fraser University; University of Alberta","funders":"Science and Technology Facilities Council","keywords":"Tevatron; Physics; Collider Detector at Fermilab; Fermilab; Particle physics; Luminosity; Collider; Quantum chromodynamics; Quark; Nuclear physics; Astrophysics; Large Hadron Collider","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":[0.001109893,0.0007700726,0.000476314,0.002794445,0.0006894111,0.001426816,0.000802724,0.0006848538,0.008405959],"category_scores_gemma":[0.001972156,0.0005884102,0.0005315948,0.004585919,0.0005213132,0.0008666492,0.001021674,0.0006966621,0.002328849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007790074,"about_ca_system_score_gemma":0.000378384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002545163,"about_ca_topic_score_gemma":0.007035824,"domain_scores_codex":[0.9990773,0.0001255442,0.00003801716,0.000312747,0.0003173677,0.0001289725],"domain_scores_gemma":[0.9982288,0.0005585398,0.0004867658,0.0003214099,0.000241372,0.0001631096],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003287258,0.0006617012,0.5816537,0.002260791,0.001448283,0.003224061,0.0009122154,0.01462381,0.2421248,0.0415431,0.02487217,0.08338816],"study_design_scores_gemma":[0.0002007543,0.000919161,0.6160246,0.000118792,0.0005046527,0.005037675,0.0003303912,0.02886287,0.2489682,0.01467056,0.08402213,0.0003401723],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8404361,0.004780604,0.05317537,0.0004683176,0.0001228924,0.0001500421,0.04400558,0.001776774,0.05508429],"genre_scores_gemma":[0.9468343,0.001671514,0.01558009,0.0001558259,0.00006682425,0.00006565519,0.0286051,0.0002645498,0.006756156],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008405959,"threshold_uncertainty_score":0.0281207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02405648795128213,"score_gpt":0.2692674622850661,"score_spread":0.245210974333784,"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."}}