{"id":"W2883071623","doi":"10.4095/308392","title":"Qualitative assessment of petroleum and other resources, Pacific area of interest (AOI), offshore British Columbia","year":2018,"lang":"en","type":"report","venue":"","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Submarine pipeline; Petroleum; Oceanography; Geography; Geology; Archaeology; 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":[0.002232037,0.0001952775,0.0002070345,0.004073,0.003240738,0.0017564,0.0005358332,0.0003497859,0.005185505],"category_scores_gemma":[0.008099267,0.0001982558,0.0002085826,0.004605948,0.001718593,0.0006792361,0.001913995,0.0003884414,0.0003378672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01498148,"about_ca_system_score_gemma":0.01508375,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6400956,"about_ca_topic_score_gemma":0.8365059,"domain_scores_codex":[0.9977075,0.0004719949,0.0000912603,0.0001196439,0.001368674,0.0002409388],"domain_scores_gemma":[0.9889871,0.002408881,0.0005447072,0.0002576016,0.007252509,0.0005491488],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005953646,0.0005081525,0.6162894,0.001706388,0.0000756968,0.001798547,0.1630673,0.008212224,0.01239505,0.01273189,0.01252089,0.170099],"study_design_scores_gemma":[0.00001081129,0.0001337152,0.6229864,0.0004671526,0.00002902664,0.0001840347,0.3459639,0.003339868,0.005632188,0.001675956,0.01952606,0.00005090192],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9151461,0.0001609784,0.003205316,0.0004795012,0.00001079275,0.0008169826,0.00265726,0.00002917894,0.07749384],"genre_scores_gemma":[0.976173,0.0002348007,0.002336833,0.00005649757,0.000001967195,0.0003718547,0.0006994639,0.000008857855,0.02011671],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3599044,"threshold_uncertainty_score":0.7240479,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09364692221507157,"score_gpt":0.3724653724190967,"score_spread":0.2788184502040252,"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."}}