{"id":"W2759367060","doi":"10.1103/physrevc.98.044611","title":"New “3D calorimetry” of hot nuclei","year":2018,"lang":"en","type":"article","venue":"Physical review. C","topic":"Nuclear physics research studies","field":"Physics and Astronomy","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Projectile; Nucleus; Detector; Event (particle physics); Collision; Domain (mathematical analysis); Selection (genetic algorithm); Quality (philosophy); Fermi Gamma-ray Space Telescope; Energy (signal processing); Nuclear physics; Computer science; Physics; Computational physics; Biological system; Nuclear engineering; Materials science; Algorithm; Mathematics; Artificial intelligence; Optics; Engineering; Biology","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":[0.0006401406,0.000620138,0.0005683847,0.001533472,0.0005224568,0.0008951017,0.001079758,0.0006876359,0.003114147],"category_scores_gemma":[0.001195116,0.0005712123,0.0004370879,0.0009979963,0.001512759,0.0009904399,0.001862365,0.001280544,0.0007187291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001019673,"about_ca_system_score_gemma":0.0007554801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001217613,"about_ca_topic_score_gemma":0.001717481,"domain_scores_codex":[0.9993353,0.0001175568,0.0000182634,0.0001590009,0.0003135487,0.00005626876],"domain_scores_gemma":[0.9992691,0.0001851358,0.0001190897,0.0002528345,0.0001391229,0.0000347043],"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":[0.0004902251,0.00009357287,0.01218133,0.001030024,0.0002155342,0.0002644904,0.0007821502,0.04845295,0.6774679,0.1111662,0.004572755,0.1432828],"study_design_scores_gemma":[0.0000415021,0.0001571884,0.01534573,0.0001120711,0.00009538808,0.001020206,0.0002358857,0.1089793,0.7916334,0.02651855,0.05556839,0.0002922928],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2052353,0.005709079,0.7537531,0.0004328399,0.0005292666,0.0001176288,0.002399951,0.001449421,0.03037356],"genre_scores_gemma":[0.6546305,0.004326115,0.3281214,0.0004762917,0.0001948185,0.000356371,0.001580867,0.0006197364,0.009693951],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003114147,"threshold_uncertainty_score":0.01041782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02731100276797041,"score_gpt":0.3761874426032908,"score_spread":0.3488764398353204,"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."}}