{"id":"W7038388792","doi":"","title":"Heavy oil recovery by combined solvent and hot water (CS-HW) injection: Experimental, numerical and data mining-based analysis","year":2023,"lang":"en","type":"dissertation","venue":"oURspace (University of Regina)","topic":"Global Maritime and Colonial Histories","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Faculty of Graduate Studies and Research, University of Alberta; Mitacs; Petroleum Technology Research Centre; University of Regina","keywords":"Petroleum; Degree (music); Solvent; Oil field; Graduate research; Oil analysis; Enhanced oil recovery; Solvent extraction","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004724744,0.0002242833,0.0003974818,0.0005042446,0.0002775011,0.0005275666,0.000267918,0.0003569339,0.002123886],"category_scores_gemma":[0.0005958549,0.000136601,0.0004341764,0.0006842835,0.0003738785,0.0004513922,0.0003112944,0.0004533024,0.0004983245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002810881,"about_ca_system_score_gemma":0.0003503817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003596397,"about_ca_topic_score_gemma":0.004114952,"domain_scores_codex":[0.9998355,0.00001480769,0.00001067179,0.00003770657,0.00007878528,0.00002240114],"domain_scores_gemma":[0.9997497,0.0001110338,0.00003201162,0.00002033434,0.00007712877,0.000009769177],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001751711,0.0007379095,0.008320948,0.0004792614,0.00008468855,0.0001283591,0.0002389134,0.009417204,0.9147887,0.000459508,0.0007447172,0.06284801],"study_design_scores_gemma":[0.00002986385,0.0006068802,0.0093044,0.00001579909,0.00006421168,0.00005287836,0.0001502407,0.0382673,0.9501764,0.000117599,0.001190563,0.00002392161],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9892022,0.0004479296,0.007343282,0.0000621644,0.0000258911,0.00007118523,0.0006851914,0.0001148521,0.002047288],"genre_scores_gemma":[0.9864995,0.0008116947,0.008816937,0.00003146886,0.000008605709,0.00005229434,0.000488067,0.00003387123,0.003257597],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003596397,"threshold_uncertainty_score":0.007150948,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01688283551146322,"score_gpt":0.261444378484119,"score_spread":0.2445615429726558,"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."}}