{"id":"W2061344564","doi":"10.2118/159439-ms","title":"Experimental Investigation of Bitumen Recovery from Fractured Carbonates Using Hot-Solvents","year":2012,"lang":"en","type":"article","venue":"SPE Annual Technical Conference and Exhibition","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Laricina Energy (Canada); University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Asphalt; Asphaltene; Solvent; Oil in place; Carbonate; Petroleum engineering; Dilution; Enhanced oil recovery; Viscosity; Porosity; Fossil fuel; Geology; Saturation (graph theory); Core sample; Chemical engineering; Mineralogy; Petroleum; Chemistry; Materials science; Core (optical fiber); Organic chemistry; Composite material; Geotechnical engineering; Thermodynamics","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":[0.000363061,0.0004539546,0.0004030687,0.0004265247,0.0003897372,0.0002565283,0.0003891582,0.0003424513,0.00154846],"category_scores_gemma":[0.0006051663,0.0002052162,0.000283718,0.0005735196,0.0005038763,0.0003192915,0.0002797452,0.0005484377,0.0002525197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003561708,"about_ca_system_score_gemma":0.0002763452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005163085,"about_ca_topic_score_gemma":0.01180626,"domain_scores_codex":[0.9996538,0.00003825551,0.00002500211,0.00005413017,0.0001560692,0.00007271483],"domain_scores_gemma":[0.9994811,0.0002007148,0.00008725463,0.00005020269,0.0001465768,0.0000342054],"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":[0.0002698544,0.00004132092,0.0008935105,0.000118907,0.00001356616,0.0001066042,0.0001076751,0.0004029148,0.9960012,0.00003588864,0.00001622658,0.001992292],"study_design_scores_gemma":[0.000004655928,0.00029793,0.002612033,0.000005653728,0.000009842512,0.00003300832,0.0000644703,0.0004965187,0.9961712,0.000006887208,0.0002925986,0.000005318597],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979658,0.0002209043,0.0008250989,0.00001357428,0.000006419377,0.00003024249,0.0002420603,0.00001892426,0.0006769864],"genre_scores_gemma":[0.9956409,0.0004512811,0.002349518,0.00001625224,0.000007362761,0.00002727569,0.0002426722,0.00002971911,0.001235105],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005163085,"threshold_uncertainty_score":0.01026607,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02410704305552471,"score_gpt":0.2629267560285613,"score_spread":0.2388197129730366,"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."}}