{"id":"W3037640091","doi":"10.7717/peerj.9368","title":"Tip dating with fossil sites and stratigraphic sequences","year":2020,"lang":"en","type":"article","venue":"PeerJ","topic":"Evolution and Paleontology Studies","field":"Earth and Planetary Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek","keywords":"Paleontology; Markov chain Monte Carlo; Geology; Taxon; Devonian; Bayesian probability; Mathematics; Statistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"simulation_or_modeling","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"medium","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"simulation_or_modeling","genre":"methods","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00451117,0.001275781,0.001703062,0.005572263,0.001365433,0.002821433,0.002893814,0.001792918,0.01471821],"category_scores_gemma":[0.03109187,0.001208194,0.001908439,0.007960489,0.001131615,0.002674417,0.003046324,0.003118256,0.009314737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008313413,"about_ca_system_score_gemma":0.001303786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005860758,"about_ca_topic_score_gemma":0.01256246,"domain_scores_codex":[0.9970801,0.0006932542,0.0002007024,0.001142578,0.0007145691,0.0001686604],"domain_scores_gemma":[0.9924469,0.002660216,0.000739433,0.002784943,0.00113945,0.0002290081],"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":[0.00147387,0.0002091668,0.1766542,0.0030791,0.001407795,0.0009929348,0.003266155,0.1563146,0.02997096,0.05341419,0.06205055,0.5111664],"study_design_scores_gemma":[0.0003182249,0.0001741402,0.06454168,0.0007427094,0.0006709392,0.0015673,0.0007591919,0.474782,0.03227811,0.1385564,0.2852843,0.0003249863],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0721892,0.001213558,0.8655307,0.0001229457,0.0004217672,0.0002819685,0.03388092,0.01812183,0.008237205],"genre_scores_gemma":[0.2293132,0.0006755529,0.6938787,0.0001837953,0.0001526122,0.0006436687,0.06278262,0.007296953,0.005072918],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01471821,"threshold_uncertainty_score":0.04923731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04348060754900224,"score_gpt":0.2214643822266837,"score_spread":0.1779837746776814,"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."}}