{"id":"W2214941819","doi":"10.1306/13371602st643569","title":"Geothermal Energy as a Source of Heat for Oil Sands Processing in Northern Alberta, Canada","year":2013,"lang":"en","type":"book-chapter","venue":"American Association of Petroleum Geologists eBooks","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Helmholtz-Alberta Initiative; Akademie Věd České Republiky; Government of Alberta; University of Calgary","keywords":"Oil sands; Geology; Geothermal gradient; Source rock; Geochemistry; Geothermal energy; Petroleum engineering; Mining engineering; Geomorphology; Archaeology; Geography; Paleontology; Asphalt","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002136949,0.0002708087,0.0001877532,0.001434029,0.003107603,0.001542132,0.0006415191,0.0002366774,0.002342388],"category_scores_gemma":[0.0003633233,0.0001904918,0.0001993311,0.002735608,0.0006039473,0.0001781291,0.0004895402,0.0002996812,0.0002120663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0370541,"about_ca_system_score_gemma":0.04463317,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9974546,"about_ca_topic_score_gemma":0.9994491,"domain_scores_codex":[0.9996949,0.0000169714,0.000007800982,0.00003107946,0.0001553435,0.00009384046],"domain_scores_gemma":[0.999508,0.00002999298,0.00003704547,0.000007506066,0.000314071,0.0001033124],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000796591,0.0002032291,0.8397764,0.0006175435,0.0001612185,0.003078524,0.004073475,0.008394079,0.01304832,0.002709026,0.01498873,0.1121528],"study_design_scores_gemma":[0.0000278033,0.0000481221,0.966168,0.00010782,0.00004429247,0.0001712889,0.01067491,0.002981424,0.001580559,0.0002457268,0.01792073,0.00002928224],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9659687,0.001728912,0.0004397701,0.0007584523,0.00002465065,0.00008964318,0.003586259,0.00006206246,0.0273416],"genre_scores_gemma":[0.9807652,0.001330495,0.001025719,0.0001311608,0.000004901015,0.00001833847,0.001251868,0.000009634638,0.01546277],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0370541,"threshold_uncertainty_score":0.2688476,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004554860844470724,"score_gpt":0.185068149913186,"score_spread":0.1805132890687153,"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."}}