{"id":"W2101207775","doi":"10.2118/2007-018","title":"Bituminous Ore Characterization by Integrating Low-Field NMR With Density and Particle Size Distribution Measurements","year":2007,"lang":"en","type":"article","venue":"Canadian International Petroleum Conference","topic":"NMR spectroscopy and applications","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Shell Canada","keywords":"Asphalt; Characterization (materials science); Particle-size distribution; Materials science; Field (mathematics); Particle (ecology); Particle size; Composite material; Nanotechnology; Chemical engineering; Engineering; Geology; Mathematics","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":[0.0004791565,0.0003362433,0.0002429698,0.001348115,0.0002602807,0.0003704535,0.000348208,0.0002256387,0.001393185],"category_scores_gemma":[0.00057321,0.0002219048,0.0001509813,0.00045887,0.0002304951,0.0003524398,0.0003400056,0.0002241012,0.0004952576],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000204607,"about_ca_system_score_gemma":0.000202507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002780014,"about_ca_topic_score_gemma":0.006874373,"domain_scores_codex":[0.9997241,0.00004066681,0.00001689536,0.00005547368,0.0001352697,0.00002756613],"domain_scores_gemma":[0.999587,0.0001153859,0.00007912572,0.00002626215,0.0001710174,0.00002122661],"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":[0.00005215345,0.00002257765,0.004097502,0.00004641504,0.00000582539,0.0000490292,0.00008372407,0.0003828945,0.9845558,0.00005977142,0.00002968187,0.01061453],"study_design_scores_gemma":[0.00001131095,0.0002525796,0.05181974,0.00001401359,0.00002513506,0.0002835915,0.0002634706,0.02462156,0.9210752,0.0001902892,0.001410258,0.00003278686],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8993924,0.0003108666,0.09726065,0.00004991323,0.00001433634,0.0001224727,0.0004875743,0.0004142688,0.00194748],"genre_scores_gemma":[0.8919358,0.0003304463,0.1046154,0.00002745473,0.0000110188,0.00009316603,0.0003705622,0.00008337152,0.002532802],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002780014,"threshold_uncertainty_score":0.005527675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01024548556816891,"score_gpt":0.2554433770290627,"score_spread":0.2451978914608938,"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."}}