{"id":"W2007084909","doi":"10.1103/physrevc.65.034608","title":"Parametrizing yields of nuclear multifragmentation","year":2002,"lang":"en","type":"article","venue":"Physical Review C","topic":"Nuclear reactor physics and engineering","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Sigma; Thermodynamic limit; Physics; Phase transition; Critical exponent; Limit (mathematics); Thermodynamics; Statistical physics; Expression (computer science); Mathematics; Mathematical physics; Mathematical analysis; Quantum mechanics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00002362505,0.00008217963,0.0001917116,0.00001926217,0.000010278,0.000006015101,0.00006893925,0.00001201322,0.0001041439],"category_scores_gemma":[0.00001830408,0.00007772689,0.00007766601,0.0001935384,0.00000925583,0.00008133002,0.000011502,0.00009029359,0.0001479507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001518001,"about_ca_system_score_gemma":4.443372e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002552893,"about_ca_topic_score_gemma":4.1458e-8,"domain_scores_codex":[0.9996152,0.000004755945,0.0001085746,0.00006797546,0.00009940052,0.0001040971],"domain_scores_gemma":[0.9997697,0.0000303154,0.00001981422,0.0001286796,0.00001261633,0.00003888087],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001915199,0.0004264423,0.00004601558,0.00920136,0.0001811934,0.00000470838,0.0007256909,0.007220407,0.1849214,0.04067738,0.01737443,0.7392191],"study_design_scores_gemma":[0.0002457401,0.00005751357,0.0005504405,0.002005158,0.0000946511,0.000001974403,0.00001641598,0.8418945,0.003727444,0.0004141713,0.150572,0.0004199858],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9213372,0.02358265,0.0008208904,0.0001536629,0.0003397507,0.0004281252,0.00001232822,0.000571645,0.05275369],"genre_scores_gemma":[0.9916854,0.007922376,0.0002474737,0.00004193551,0.00006126055,0.000006322877,0.000001470169,0.00002897096,0.000004829642],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8346741,"threshold_uncertainty_score":0.3169611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01938449031809756,"score_gpt":0.236089866515612,"score_spread":0.2167053761975144,"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."}}