{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004915506,0.0003464935,0.0002996961,0.0007160242,0.0006328959,0.0006600007,0.0003778471,0.0005098945,0.001225504],"category_scores_gemma":[0.0004615304,0.000320389,0.0001438946,0.0007325222,0.0003622579,0.0002373758,0.0003132847,0.000293546,0.0004315896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000199407,"about_ca_system_score_gemma":0.0001306853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005579846,"about_ca_topic_score_gemma":0.0006040947,"domain_scores_codex":[0.9998005,0.00003134027,0.000009953047,0.00006119216,0.00005916462,0.00003784149],"domain_scores_gemma":[0.999621,0.0001021618,0.0001375063,0.0000275528,0.00003452901,0.00007719522],"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":[0.0007513198,0.00008143864,0.06038912,0.00005589003,0.00006318071,0.0007899001,0.0001711723,0.0002227463,0.9324904,0.001104331,0.000247052,0.003633438],"study_design_scores_gemma":[0.0001548437,0.001190702,0.2449403,0.00001501188,0.0001843573,0.003098368,0.0003301383,0.004440004,0.7390308,0.001976049,0.004596571,0.00004285658],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974323,0.000211595,0.001191911,0.00003799247,0.000004295099,0.000004589443,0.0001772169,0.00003162005,0.0009084095],"genre_scores_gemma":[0.9973793,0.0001291358,0.001369184,0.00004363298,0.0000090825,0.000009238532,0.000626917,0.000009287181,0.0004241908],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001225504,"threshold_uncertainty_score":0.004099727,"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."}}