{"id":"W4416954014","doi":"10.1088/1742-6596/3149/1/011001","title":"Preface","year":2025,"lang":"","type":"article","venue":"Journal of Physics Conference Series","topic":"Muon and positron interactions and applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Czech; Scope (computer science); Beauty; China","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007910148,0.0001674206,0.000301307,0.00008336288,0.0001271986,0.0001985819,0.000250859,0.00006932324,0.0004271299],"category_scores_gemma":[0.00001378999,0.0001592093,0.000178286,0.0002706318,0.0000759368,0.0005526916,0.00003320216,0.0004477197,0.00003353136],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005463998,"about_ca_system_score_gemma":0.0002611017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006514918,"about_ca_topic_score_gemma":0.000004646906,"domain_scores_codex":[0.9990769,0.00002495227,0.0005162692,0.00008663762,0.0001286242,0.0001666365],"domain_scores_gemma":[0.9989846,0.00005189634,0.0002146492,0.0001955801,0.0004792461,0.00007398031],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005653738,0.0001456341,0.0001064431,0.0001966526,0.0003786452,0.000002786159,0.0009197309,0.002984445,0.02420558,0.746898,0.01029415,0.2138114],"study_design_scores_gemma":[0.000572693,0.0002309194,0.001140467,0.001074538,0.000304162,0.00003702818,0.002081608,0.002327222,0.4630525,0.05680825,0.4720154,0.0003552375],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02909541,0.001758431,0.815558,0.004336219,0.004148118,0.0002092357,0.00005272815,0.00004242301,0.1447994],"genre_scores_gemma":[0.9894207,0.001381839,0.001158235,0.00005873829,0.0003330364,0.000004227466,0.000001517521,0.00001007906,0.007631632],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9603253,"threshold_uncertainty_score":0.6492367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01485256721836422,"score_gpt":0.2697893046368688,"score_spread":0.2549367374185046,"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."}}