{"id":"W2728519623","doi":"","title":"Estimating pore fluid saturation in an oil sands reservoir using ensemble tree machine learning algorithms","year":2017,"lang":"en","type":"article","venue":"Saint Mary's University Institutional Repository (Saint Mary's University)","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"HEC Montréal","keywords":"Oil sands; Saturation (graph theory); Petroleum engineering; Geology; Algorithm; Computer science; Mathematics; Materials science; Asphalt","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.000627557,0.000412373,0.0007218798,0.0008098813,0.0002675601,0.0005663036,0.0005986285,0.0006861773,0.000361205],"category_scores_gemma":[0.002148494,0.0002484316,0.0005289405,0.0006610501,0.0002161278,0.001013262,0.0004473707,0.0005473788,0.0001307801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003766393,"about_ca_system_score_gemma":0.0006294795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007059325,"about_ca_topic_score_gemma":0.007456073,"domain_scores_codex":[0.9998248,0.00005244502,0.00001039694,0.00003416004,0.00005442364,0.00002371951],"domain_scores_gemma":[0.9992291,0.0004484411,0.00008716617,0.00004755047,0.0001559008,0.00003184539],"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":[0.00003685895,0.00002992801,0.004646535,0.00001913082,0.00002665079,0.00003708404,0.00002650646,0.9580036,0.001884689,0.0006708367,0.00018494,0.03443322],"study_design_scores_gemma":[3.650701e-7,0.000002543007,0.0001369903,6.520142e-7,8.680073e-7,0.000002016077,0.000001876806,0.9995109,0.0001964301,0.0001293929,0.00001712618,9.560628e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3962091,0.0002781436,0.6012896,0.0001379067,0.00002528694,0.0000239186,0.000131691,0.0005324031,0.001371908],"genre_scores_gemma":[0.907016,0.0001364772,0.09199853,0.00002011031,0.00001241163,0.00002718829,0.0001694813,0.00002595622,0.0005937858],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007059325,"threshold_uncertainty_score":0.01403648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02122984230273042,"score_gpt":0.2376433521895072,"score_spread":0.2164135098867767,"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."}}