{"id":"W3128627076","doi":"10.1016/j.orggeochem.2021.104199","title":"Oil-source and oil-oil correlations and the origin of the heavy oil and bitumen accumulations in Northern Alberta, Canada","year":2021,"lang":"en","type":"article","venue":"Organic Geochemistry","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"Geological Survey of Canada; Schlumberger (Canada)","funders":"","keywords":"Oil shale; Source rock; Geology; Cretaceous; Oil sands; Carbonate; Asphalt; Geochemistry; Carboniferous; Hydrocarbon; Biomarker; Paleontology; Structural basin; Chemistry; Organic chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000071105,0.0001078784,0.0001587025,0.00001670077,0.0001099617,0.00003096367,0.00008237846,0.00006543514,0.00007888558],"category_scores_gemma":[0.0001311189,0.00007806697,0.00002561151,0.0003141024,0.00007823297,0.0000406707,0.00006336984,0.0001727515,8.356866e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004670273,"about_ca_system_score_gemma":0.0001761193,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04018857,"about_ca_topic_score_gemma":0.7175553,"domain_scores_codex":[0.9993846,0.00003036605,0.0001969776,0.0001407337,0.0001266874,0.0001205935],"domain_scores_gemma":[0.9994572,0.0001543773,0.00003866225,0.0002501027,0.00004047517,0.00005913924],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007669174,0.0002489667,0.421659,0.002566796,0.001617645,0.00005089018,0.02180402,0.2842619,0.2063596,0.0005016495,0.003897158,0.05695565],"study_design_scores_gemma":[0.005566567,0.000007564894,0.01478782,0.0004234693,0.0005629383,0.0001730199,0.008749919,0.8618119,0.05252349,0.0001795126,0.05407943,0.001134336],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9901122,0.001004483,0.00001858059,0.003252993,0.00004118913,0.000005318129,0.000009821744,0.0000128706,0.00554248],"genre_scores_gemma":[0.9878425,0.0005566196,0.00001224636,0.00005247524,0.00002371193,0.000006009355,0.00002041964,0.00001343782,0.01147256],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6773667,"threshold_uncertainty_score":0.9662029,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004996578968702798,"score_gpt":0.1829587074271096,"score_spread":0.1779621284584068,"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."}}