{"id":"W4396495628","doi":"10.1017/pab.2023.38","title":"The Fractional MacroEvolution Model: a simple quantitative scaling macroevolution model","year":2024,"lang":"en","type":"article","venue":"Paleobiology","topic":"Evolution and Paleontology Studies","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Origination; Macroevolution; Statistical physics; Extinction (optical mineralogy); Scaling; Extinction event; Applied mathematics; Mathematics; Geology; Physics; Computer science; Paleontology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004853012,0.0001800562,0.0001820178,0.00009227651,0.0009037013,0.00005273245,0.0001803582,0.0001583298,0.0001825242],"category_scores_gemma":[0.0001292978,0.0001221613,0.0001122867,0.000213721,0.0004775777,0.0001779471,0.00001932263,0.0003186612,0.0005446809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001916734,"about_ca_system_score_gemma":0.0001183869,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003781803,"about_ca_topic_score_gemma":0.03141842,"domain_scores_codex":[0.9985164,0.0001740939,0.0002964952,0.0003947502,0.0001385689,0.0004797017],"domain_scores_gemma":[0.9988891,0.0007346793,0.00006606093,0.0001542159,0.00008322926,0.00007267409],"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":[0.0002887119,0.0000255738,0.3028498,0.0000496006,0.0002817368,0.00001498137,0.001170546,0.5791577,0.0002756884,0.08110303,0.02146212,0.01332058],"study_design_scores_gemma":[0.0001018927,0.00005625685,0.06346855,0.000009556589,0.00002583562,0.00003126061,0.0002636137,0.8908165,0.000004044813,0.03736851,0.007710333,0.0001436337],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3933356,0.08593009,0.4433942,0.008860854,0.00418044,0.00077792,0.001068759,0.0008929434,0.06155926],"genre_scores_gemma":[0.9958265,0.001007218,0.001942868,0.0002417666,0.0001267056,0.00001067797,0.000184755,0.000004695674,0.0006547758],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.602491,"threshold_uncertainty_score":0.9862556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03444015564678192,"score_gpt":0.2927214478715689,"score_spread":0.258281292224787,"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."}}