{"id":"W2100155809","doi":"10.1002/cjce.5450830124","title":"Applications of Low Field NMR Techniques in the Characterization of Oil Sand Mining, Extraction and Upgrading Processes","year":2008,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"NMR spectroscopy and applications","field":"Physics and Astronomy","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Canada Research Chairs; Shell Canada","keywords":"Characterization (materials science); Extraction (chemistry); Field (mathematics); Oil field; Petroleum engineering; Materials science; Environmental science; Geology; Chemistry; Chromatography; Mathematics; Nanotechnology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.001018842,0.0006571202,0.0004325764,0.001479582,0.0005084334,0.0007679584,0.0005653069,0.0006529497,0.001193186],"category_scores_gemma":[0.001113398,0.000272461,0.0002400361,0.001031293,0.0005882218,0.0004875558,0.0003469766,0.0004534469,0.0005372608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007424342,"about_ca_system_score_gemma":0.001313794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0137495,"about_ca_topic_score_gemma":0.02913642,"domain_scores_codex":[0.9995531,0.00007301004,0.00001662563,0.00007826174,0.0002415333,0.00003730948],"domain_scores_gemma":[0.9994075,0.0002139483,0.00007935634,0.00005242203,0.0002198672,0.00002695415],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001085491,0.00004919328,0.002920276,0.0003267042,0.00002829068,0.0001068388,0.0001413258,0.006888673,0.872865,0.0006017738,0.0003233411,0.11564],"study_design_scores_gemma":[0.00004155444,0.0004615549,0.03167496,0.00007209509,0.0001225053,0.000826525,0.0004873769,0.1109995,0.8278682,0.002352343,0.02497824,0.0001151925],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2706325,0.004381934,0.7150068,0.0005084489,0.00007956586,0.0002452215,0.0004778488,0.002077213,0.006590532],"genre_scores_gemma":[0.3937519,0.003635395,0.5946782,0.0001818197,0.000046143,0.00009986573,0.000485878,0.000186437,0.006934374],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0137495,"threshold_uncertainty_score":0.02733898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005215254736006237,"score_gpt":0.2379900208490699,"score_spread":0.2327747661130637,"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."}}