{"id":"W4415946424","doi":"10.1016/j.jspc.2025.100247","title":"Hybrid regression and explainable AI for phase transition analysis of two-flavour quark matter","year":2025,"lang":"en","type":"article","venue":"Journal of subatomic particles and cosmology.","topic":"High-Energy Particle Collisions Research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Future Earth","funders":"","keywords":"Pattern recognition (psychology); Feature (linguistics); Phase transition; Cluster analysis; Feature selection; Crossover; Dimensionality reduction; Support vector machine; Mixture model","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":[0.002207901,0.0005392742,0.000677775,0.001138945,0.0004227615,0.0007868318,0.001200268,0.0005541248,0.003021636],"category_scores_gemma":[0.005490452,0.0003116136,0.0008207161,0.0007403331,0.0005224991,0.001042753,0.0008381567,0.001444654,0.000510726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005227841,"about_ca_system_score_gemma":0.0007448515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009455934,"about_ca_topic_score_gemma":0.006789427,"domain_scores_codex":[0.9995651,0.0002544844,0.00001427213,0.00006692603,0.00004958219,0.00004962269],"domain_scores_gemma":[0.9967914,0.002587243,0.0001652947,0.000193671,0.0001861204,0.00007629235],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002226871,0.0001453605,0.005874601,0.00009977216,0.0003520534,0.0001033798,0.00008738675,0.873676,0.002559413,0.04759374,0.00171773,0.06756791],"study_design_scores_gemma":[0.000003475917,0.000005143077,0.00021763,0.000001446825,0.000006186176,0.000002301658,0.000002236928,0.9934463,0.00008035242,0.006136347,0.00009571196,0.000002830982],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07715293,0.0007370323,0.9189105,0.0004534312,0.00005468013,0.00003445322,0.0003625163,0.001263288,0.001031222],"genre_scores_gemma":[0.889169,0.0004078931,0.1041262,0.0001102777,0.0001682991,0.0000983749,0.0008859604,0.0003116195,0.004722241],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009455934,"threshold_uncertainty_score":0.01880175,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01271173441550899,"score_gpt":0.3388525586482191,"score_spread":0.3261408242327101,"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."}}