{"id":"W2088492392","doi":"10.1016/j.coal.2008.04.009","title":"Analysis of large thermal maturity datasets: Examples from the Canadian Arctic Islands","year":2008,"lang":"en","type":"article","venue":"International Journal of Coal Geology","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":false,"ca_institutions":"Geological Survey of Canada","funders":"","keywords":"Maturity (psychological); Geology; Cretaceous; Drilling; Vitrinite; Arctic; Sedimentary rock; Mineralogy; Paleontology; Oceanography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001542876,0.0008617699,0.0005834292,0.002576314,0.00161727,0.00125616,0.001450681,0.001231647,0.001006866],"category_scores_gemma":[0.004476733,0.0003633264,0.0008675853,0.006271888,0.0006900862,0.0008306713,0.000915674,0.001017483,0.0003997484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003369374,"about_ca_system_score_gemma":0.005201856,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8423973,"about_ca_topic_score_gemma":0.9179244,"domain_scores_codex":[0.9992488,0.00008469182,0.00004132327,0.0001479325,0.0003280136,0.0001491875],"domain_scores_gemma":[0.9975338,0.0006354393,0.0001318477,0.000372849,0.001145561,0.0001805459],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001022744,0.0006276491,0.4256353,0.0008283586,0.001284661,0.002282842,0.002013308,0.2508339,0.01258346,0.004408815,0.1389958,0.1594833],"study_design_scores_gemma":[0.0001375555,0.00006005815,0.7672009,0.0001303801,0.0002464545,0.0002594078,0.00233387,0.1648657,0.004889828,0.002449611,0.0572569,0.0001693037],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8869383,0.001765788,0.00515776,0.002023528,0.0001112448,0.0001199176,0.09409395,0.002352579,0.007436803],"genre_scores_gemma":[0.8174928,0.001138294,0.01887261,0.0001997427,0.00006818503,0.0000796356,0.1582767,0.0004815915,0.00339037],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1576027,"threshold_uncertainty_score":0.3170617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0155813216591065,"score_gpt":0.2484947993566283,"score_spread":0.2329134776975218,"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."}}