{"id":"W4388489944","doi":"10.4095/332112","title":"Qualitative petroleum resource assessments, process and examples from Atlantic Canada","year":2023,"lang":"en","type":"report","venue":"","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Petroleum; Resource (disambiguation); Process (computing); Oceanography; Petroleum engineering; Computer science; Operations research; Environmental resource management; Environmental science; Fishery; Engineering; Geology; Biology; Paleontology","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":[0.002216347,0.0003499468,0.0001950609,0.004025863,0.00485671,0.001888235,0.0006219394,0.0003760853,0.0035484],"category_scores_gemma":[0.004460941,0.0001851802,0.0002416105,0.008649025,0.001244461,0.0006974064,0.001209161,0.0004959863,0.0003873999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04473496,"about_ca_system_score_gemma":0.04692803,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9880422,"about_ca_topic_score_gemma":0.9959208,"domain_scores_codex":[0.997729,0.0002765684,0.00007111126,0.0001090158,0.001525806,0.0002884049],"domain_scores_gemma":[0.9941766,0.0008108956,0.000137452,0.0001621698,0.004570051,0.0001427908],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004776084,0.0002797758,0.130671,0.001483836,0.00008245846,0.001760393,0.0624329,0.03029697,0.009934256,0.0665289,0.1640939,0.531958],"study_design_scores_gemma":[0.00002957557,0.00009363401,0.3462574,0.0008624411,0.00009474072,0.0002538262,0.1273074,0.009464663,0.0157069,0.01114551,0.4886407,0.0001432219],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.4439654,0.001822932,0.01903192,0.006356434,0.00007052672,0.001304144,0.0289636,0.0004446167,0.4980405],"genre_scores_gemma":[0.8028224,0.00242939,0.02259012,0.0004142645,0.0000122003,0.0003213696,0.008318726,0.0001298047,0.1629618],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04473496,"threshold_uncertainty_score":0.3245764,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0758871450820725,"score_gpt":0.3602342987036024,"score_spread":0.2843471536215299,"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."}}