{"id":"W4224300390","doi":"10.1130/b36266.1","title":"(U-Th)/He chronology: Part 1. Data, uncertainty, and reporting","year":2022,"lang":"en","type":"article","venue":"Geological Society of America Bulletin","topic":"Geological and Geochemical Analysis","field":"Earth and Planetary Sciences","cited_by":91,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"National Science Foundation","keywords":"Thermochronology; Computer science; Data science; Process (computing); Reliability (semiconductor); Geology; Data mining; Paleontology; Physics","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":[0.08767042,0.002386543,0.002004883,0.02287777,0.00268146,0.01126872,0.004830054,0.003302675,0.009939337],"category_scores_gemma":[0.1981442,0.001445702,0.001670747,0.02234164,0.004750443,0.009851308,0.005554237,0.005161166,0.007021287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00518865,"about_ca_system_score_gemma":0.01149948,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01126603,"about_ca_topic_score_gemma":0.007062565,"domain_scores_codex":[0.9169822,0.02980776,0.01992045,0.004539378,0.02768271,0.001067542],"domain_scores_gemma":[0.7752634,0.08357286,0.03584946,0.03406734,0.06897041,0.002276417],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004162867,0.0001479457,0.02006331,0.01654918,0.00047378,0.0007364625,0.003297791,0.008083582,0.005581729,0.1297291,0.2165066,0.5984142],"study_design_scores_gemma":[0.00003131646,0.0001369158,0.01049571,0.007310694,0.0001149254,0.0004566242,0.001185108,0.002440047,0.007851765,0.05604827,0.9136721,0.0002565545],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01630027,0.1087036,0.6173874,0.02724649,0.01633013,0.008559395,0.1310316,0.006535379,0.0679056],"genre_scores_gemma":[0.07570771,0.08344407,0.7080063,0.005795267,0.009095532,0.01427725,0.08539629,0.002964237,0.01531347],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.08767042,"threshold_uncertainty_score":0.463651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03694304418180803,"score_gpt":0.2331144009180289,"score_spread":0.1961713567362209,"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."}}