{"id":"W7080228930","doi":"10.17181/jd602-1f857","title":"Analysis of Central Diffraction with the CMS-TOTEM Precision Proton Spectrometer","year":2025,"lang":"en","type":"report","venue":"","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Large Hadron Collider; Spectrometer; Detector; Event (particle physics); Super Proton Synchrotron; Diffraction; Proton","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":[0.001454292,0.0007195653,0.0006589053,0.001584984,0.0006276009,0.000901202,0.0007792595,0.0003994133,0.002180631],"category_scores_gemma":[0.002400371,0.0004300052,0.0005739499,0.002968977,0.0004618849,0.000470777,0.0008455761,0.0005386804,0.0002947109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001111704,"about_ca_system_score_gemma":0.0007978487,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004821082,"about_ca_topic_score_gemma":0.004316422,"domain_scores_codex":[0.9989383,0.0001696503,0.00003937555,0.0001721178,0.0005668682,0.0001137262],"domain_scores_gemma":[0.997768,0.0009064719,0.0004138951,0.0002582244,0.0004716833,0.0001816773],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.007797319,0.0006840411,0.305844,0.0006155867,0.0008867823,0.004757369,0.0009685056,0.309642,0.2471909,0.04325807,0.009013812,0.06934167],"study_design_scores_gemma":[0.0003216133,0.0006733626,0.2802086,0.00003539918,0.000136575,0.002082423,0.0002740407,0.5909413,0.1134074,0.005529222,0.006205201,0.0001849635],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9581122,0.0002679499,0.0271745,0.00009767483,0.00001939522,0.00005142166,0.002910495,0.001076326,0.01028993],"genre_scores_gemma":[0.9835044,0.00007467449,0.01308181,0.0000338146,0.00001276786,0.00002747666,0.002298817,0.0001428649,0.0008233767],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004821082,"threshold_uncertainty_score":0.009586036,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01721216498570173,"score_gpt":0.2576609188465773,"score_spread":0.2404487538608756,"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."}}