{"id":"W2772978212","doi":"10.7185/geochemlet.1745","title":"Hydrocarbons as ore fluids","year":2017,"lang":"en","type":"article","venue":"Geochemical Perspectives Letters","topic":"NMR spectroscopy and applications","field":"Physics and Astronomy","cited_by":70,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Argonne National Laboratory; Natural Sciences and Engineering Research Council of Canada; Office of Science; U.S. Department of Energy; Fonds Québécois de la Recherche sur la Nature et les Technologies; Canadian Light Source","keywords":"Geology; Geochemistry; Petroleum engineering; Mining engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00003826708,0.0001610304,0.000149976,0.00002537182,0.0005512117,0.000148089,0.0004647702,0.00003366802,0.0006124893],"category_scores_gemma":[0.00001675332,0.0001586828,0.0001390284,0.00003880602,0.000317468,0.0001532643,0.0001108541,0.0002449021,0.0003010762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004424062,"about_ca_system_score_gemma":0.00002341043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003597986,"about_ca_topic_score_gemma":0.000001163329,"domain_scores_codex":[0.999068,0.000009984366,0.0001128852,0.0003743001,0.0001285941,0.0003062015],"domain_scores_gemma":[0.9990668,0.00002327404,0.000081686,0.0006951697,0.00001822354,0.0001148361],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001090284,0.0001138107,0.01057698,0.000001579489,0.00006912882,0.000002008648,0.000621648,0.000001074119,0.8363175,0.1454307,0.006438003,0.0004166637],"study_design_scores_gemma":[0.001498913,0.0000606419,0.01751602,0.00004107425,0.0001098349,0.000008216402,0.004308822,0.0002642248,0.8070759,0.1506894,0.01729604,0.001130891],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8672269,0.000035369,0.002379311,0.01506001,0.00005943414,0.0001309399,0.00002098053,0.00005742699,0.1150297],"genre_scores_gemma":[0.9975528,0.000001958511,0.0007139763,0.0003575962,0.0007609263,0.00005462315,0.00001597079,0.00001675798,0.0005253974],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1303259,"threshold_uncertainty_score":0.6706328,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007198170934554084,"score_gpt":0.3125953879788833,"score_spread":0.3053972170443292,"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."}}