{"id":"W2791683778","doi":"10.1177/0144598718758339","title":"Quantitative prediction model of present-day low-TOC carbonate source rocks: Example from the Middle–upper Ordovician in the Tarim Basin","year":2018,"lang":"en","type":"article","venue":"Energy Exploration & Exploitation","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Geological Survey of Canada; Natural Resources Canada","funders":"National Key Research and Development Program of China; China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Source rock; Ordovician; Geology; Carbonate rock; Total organic carbon; Carbonate; Tarim basin; Geochemistry; Organic matter; Hydrocarbon exploration; Structural basin; Petrology; Geomorphology; Sedimentary rock; Environmental chemistry; Chemistry","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":[0.0006111406,0.0002681159,0.0002805654,0.0002710119,0.0002131447,0.0001028985,0.0003658416,0.0001426583,0.00004555373],"category_scores_gemma":[0.0001218001,0.0001924913,0.0001289786,0.0009431548,0.0001310647,0.001238109,0.00003480055,0.0002066,0.00002687702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000096097,"about_ca_system_score_gemma":0.00005688602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003272659,"about_ca_topic_score_gemma":0.008815479,"domain_scores_codex":[0.9975466,0.0004891873,0.0007183311,0.0003432928,0.0006262535,0.0002763545],"domain_scores_gemma":[0.9985555,0.0004020848,0.0001911671,0.0005202413,0.0002711808,0.00005982529],"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":[0.00005476125,0.00006779809,0.000154241,0.000008998597,0.00008733291,5.310935e-7,0.05725569,0.9312887,0.006972598,0.002289487,0.0008636491,0.0009562304],"study_design_scores_gemma":[0.0005015699,0.00008758964,0.0002711432,0.00005192501,0.00005391265,2.41063e-7,0.02214763,0.9647956,0.004776467,0.004750224,0.002371015,0.0001926953],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2727616,0.0002288983,0.7234567,0.001114342,0.0002940084,0.0003075389,0.00004168663,0.000174456,0.001620794],"genre_scores_gemma":[0.997045,0.0002433325,0.0009536967,0.0002929078,0.0003421069,0.0002942068,0.0006002249,0.00005284742,0.0001756628],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7242835,"threshold_uncertainty_score":0.7849568,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0437892613608711,"score_gpt":0.232819232952466,"score_spread":0.1890299715915948,"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."}}