{"id":"W4233789682","doi":"10.2523/84198-ms","title":"A Stochastic Approach to Extract Vapex Related Dispersion Coefficients from Magnetic Resonance Images","year":2003,"lang":"en","type":"article","venue":"Proceedings of SPE Annual Technical Conference and Exhibition","topic":"Petroleum Processing and Analysis","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Citation; Exhibition; Computer science; Information retrieval; World Wide Web; Art history; Art","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0007380862,0.0007033625,0.0005050385,0.002350514,0.0004663352,0.001242287,0.0008732254,0.0008532408,0.001951383],"category_scores_gemma":[0.003292164,0.0006334541,0.001046789,0.001229689,0.0005116964,0.001104487,0.001118881,0.001344911,0.001148172],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006681058,"about_ca_system_score_gemma":0.001000946,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004483623,"about_ca_topic_score_gemma":0.006984604,"domain_scores_codex":[0.9996156,0.00006064153,0.00003019376,0.00006497788,0.0001869072,0.00004178127],"domain_scores_gemma":[0.9988528,0.0005217624,0.000149011,0.0000854399,0.0003260741,0.00006491351],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001897198,0.000134286,0.002428376,0.0004229526,0.0001758796,0.0006127722,0.0002970175,0.3043001,0.1968167,0.04102461,0.004755227,0.4488424],"study_design_scores_gemma":[0.000007213797,0.00003785704,0.001633671,0.00002303344,0.00002688433,0.0002337191,0.00004085671,0.9733912,0.01191066,0.009534822,0.003125515,0.00003454611],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006059066,0.0001420855,0.9926918,0.0001043762,0.00001221911,0.00003462189,0.00009691394,0.0002819696,0.0005769816],"genre_scores_gemma":[0.159982,0.001191566,0.8316361,0.0001228165,0.0001379175,0.0001757738,0.0008773223,0.0003482546,0.005528353],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004483623,"threshold_uncertainty_score":0.008915007,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01219002915155223,"score_gpt":0.2341021939851888,"score_spread":0.2219121648336365,"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."}}