{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001706157,0.0002901003,0.000212533,0.0002576785,0.0003552276,0.0005598982,0.0002896255,0.0003915075,0.0015803],"category_scores_gemma":[0.0003316882,0.0001538513,0.0001146997,0.0002582599,0.0005549836,0.0009681521,0.0005365287,0.0004165239,0.0007173516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000435906,"about_ca_system_score_gemma":0.0004386709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002443993,"about_ca_topic_score_gemma":0.003176053,"domain_scores_codex":[0.9996517,0.00007259834,0.00001434044,0.00006859525,0.0001526103,0.0000401474],"domain_scores_gemma":[0.9998407,0.00004126766,0.00003299489,0.00001555968,0.00005399484,0.0000153572],"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":[0.0001359125,0.00001598464,0.0005783863,0.0002915699,0.00000770272,0.0001619854,0.0001704143,0.000709502,0.9823116,0.005498494,0.0002162332,0.009902118],"study_design_scores_gemma":[0.00001230173,0.0001580492,0.0008965805,0.00002584747,0.000008716316,0.0002215088,0.0001350039,0.001706941,0.9701512,0.001354975,0.02531366,0.00001543168],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9210657,0.01083168,0.03814734,0.0005262003,0.0001964601,0.0001268094,0.0009433734,0.0003405154,0.02782194],"genre_scores_gemma":[0.9670382,0.004033104,0.01472401,0.0001017524,0.00002731264,0.00003058211,0.0003734927,0.00004894666,0.01362247],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002443993,"threshold_uncertainty_score":0.005286634,"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."}}