{"id":"W2350765453","doi":"","title":"Brief Analysis of the Existing Condition and the Separation Method of Oil-Sands","year":2011,"lang":"en","type":"article","venue":"Guangzhou Chemical Industry","topic":"Petroleum Processing and Analysis","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Oil sands; Extraction (chemistry); Environmental science; Solvent extraction; Distillation; Waste management; Petroleum; Separation (statistics); Petroleum engineering; Geology; Mining engineering; Engineering; Asphalt; Archaeology; Geography; Chemistry","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":[0.0002648894,0.0006585632,0.0003935043,0.00180615,0.0007111158,0.0004421755,0.0003465066,0.0004884748,0.003811704],"category_scores_gemma":[0.0004079696,0.0003333083,0.0004281033,0.001169672,0.0003850846,0.001042204,0.0002912887,0.00061637,0.001662798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004669956,"about_ca_system_score_gemma":0.0005517806,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00220201,"about_ca_topic_score_gemma":0.00209956,"domain_scores_codex":[0.9996123,0.00002885138,0.00002877417,0.00006895511,0.0002255569,0.0000356594],"domain_scores_gemma":[0.999855,0.00002849564,0.00002502573,0.00001400978,0.00006252213,0.00001481068],"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":[0.0004154828,0.0001235145,0.003470171,0.003675876,0.00005845385,0.001211581,0.0003215249,0.0009505503,0.8129489,0.006302648,0.01062297,0.1598983],"study_design_scores_gemma":[0.00001453195,0.0004711262,0.01733375,0.0001313302,0.000138315,0.003994674,0.0003237746,0.003845959,0.7532616,0.002448128,0.2178923,0.0001444637],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4191327,0.2305472,0.2241999,0.003199235,0.003872587,0.001032849,0.004794359,0.001987808,0.1112333],"genre_scores_gemma":[0.6697811,0.1431638,0.09395163,0.001698888,0.002145959,0.0006295738,0.007959837,0.0002545847,0.0804145],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003811704,"threshold_uncertainty_score":0.01275146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04720336993369544,"score_gpt":0.3300587657083763,"score_spread":0.2828553957746808,"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."}}