{"id":"W7005835636","doi":"","title":"Search for Neutral Supersymmetric Higgs Bosons in <i>pp</i> Collisions at √s = 1.8 TeV","year":2001,"lang":"en","type":"article","venue":"Insecta mundi","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Istituto Nazionale di Fisica Nucleare; Korea Science and Engineering Foundation; National Science Council; Alfred P. Sloan Foundation; Fermilab; U.S. Department of Energy; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Higgs boson; Boson; Context (archaeology); Standard Model (mathematical formulation); Minimal Supersymmetric Standard Model; Large Hadron Collider; Collider; Higgs sector","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004242137,0.0002707567,0.0003233613,0.0003924335,0.0002000623,0.0000638501,0.0004920653,0.0003153162,0.00007678981],"category_scores_gemma":[0.0002018939,0.0002792326,0.0003036381,0.0009551324,0.0001355076,0.00001399297,0.0003151504,0.0001615315,0.00003439813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001475636,"about_ca_system_score_gemma":0.0001246595,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008369667,"about_ca_topic_score_gemma":0.007727338,"domain_scores_codex":[0.9979783,0.0001127422,0.0003884737,0.0006520046,0.0002109163,0.0006576222],"domain_scores_gemma":[0.9987204,0.0000971028,0.00006905023,0.0007765623,0.0001702768,0.000166629],"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":[0.0001238104,0.0002138063,0.09345993,0.00001538942,0.00005649917,0.00003181155,0.00006783818,0.00003170136,0.8861619,0.0001778949,0.01889654,0.0007629125],"study_design_scores_gemma":[0.001254575,0.0005758419,0.0215125,0.00002338589,0.00007201156,0.00006630667,0.00001431473,0.000595702,0.6517903,0.00006806566,0.3235009,0.0005261808],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.991469,0.001726735,0.0005773884,0.0002473756,0.00005238791,0.0005535093,0.0000390816,0.00006149746,0.005273013],"genre_scores_gemma":[0.9930024,0.001867965,0.001202773,0.0002643808,0.000211872,0.0001568688,0.0003180611,0.00006176005,0.002913973],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3046044,"threshold_uncertainty_score":0.999966,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01720267533771871,"score_gpt":0.2822108003115891,"score_spread":0.2650081249738704,"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."}}