{"id":"W1978765563","doi":"10.2118/2001-021","title":"Numerical Evaluation of THAI Prcess","year":2001,"lang":"en","type":"article","venue":"Canadian International Petroleum Conference","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Citation; Library science; Download; Citation impact; Computer science; Operations research; Engineering; World Wide Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0009145949,0.0003958087,0.0005290426,0.0009168735,0.0005350827,0.001303758,0.0007572518,0.001242038,0.009552286],"category_scores_gemma":[0.005594837,0.0001870576,0.000405533,0.0008367914,0.0008658193,0.0007055245,0.000744672,0.0006939919,0.000714922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007269623,"about_ca_system_score_gemma":0.0007126622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005025626,"about_ca_topic_score_gemma":0.002771265,"domain_scores_codex":[0.9995971,0.00008505908,0.00003573389,0.00006195071,0.000154547,0.00006553004],"domain_scores_gemma":[0.9974885,0.001389171,0.0002120534,0.0001926846,0.0006307802,0.00008678421],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001602281,0.0000763999,0.003028249,0.0001434329,0.00001786995,0.0002193637,0.0001228781,0.9661604,0.003596733,0.006892845,0.001017986,0.01856361],"study_design_scores_gemma":[0.000006961222,0.00002870233,0.0002605706,0.000009154508,0.000002379022,0.00002071974,0.00003429552,0.997106,0.001147506,0.0006675324,0.00071053,0.000005579466],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6302007,0.000999753,0.2602404,0.001451979,0.0004940495,0.0003053601,0.001426745,0.001825655,0.1030553],"genre_scores_gemma":[0.9629932,0.0001233979,0.03181713,0.00006198451,0.00001463332,0.00009316485,0.0003196627,0.00009849427,0.004478323],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009552286,"threshold_uncertainty_score":0.0319556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02616960728995337,"score_gpt":0.2680501911800753,"score_spread":0.2418805838901219,"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."}}