{"id":"W2799499768","doi":"","title":"Technology Evolution and Commercial Development at Imperial’s Cold Lake Production Project","year":2000,"lang":"en","type":"article","venue":"16th World Petroleum Congress","topic":"American Environmental and Regional History","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Imperial Oil (Canada)","funders":"","keywords":"Production (economics); Oceanography; Geology; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.001584859,0.0002412252,0.0001080368,0.000860443,0.00486732,0.004062824,0.0005825196,0.001378019,0.01035546],"category_scores_gemma":[0.001935928,0.0002102719,0.0002045785,0.0008409483,0.001852032,0.001553875,0.002148815,0.001219379,0.0009171264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009325141,"about_ca_system_score_gemma":0.01439343,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1177177,"about_ca_topic_score_gemma":0.2346734,"domain_scores_codex":[0.9989924,0.0001895233,0.00002267872,0.00008523378,0.0003646315,0.0003455941],"domain_scores_gemma":[0.9987751,0.0002718994,0.0000586375,0.00009535412,0.0003344767,0.0004646615],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001324944,0.0009802255,0.04790169,0.000301096,0.00007855318,0.004544806,0.02854438,0.003499304,0.02441694,0.2755292,0.2082384,0.4046404],"study_design_scores_gemma":[0.00008361936,0.0003295513,0.03922215,0.00006857748,0.00002985501,0.0003094287,0.00797644,0.001729648,0.01565328,0.005709999,0.9288433,0.00004426437],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.497566,0.002029423,0.001713065,0.02749421,0.0001101569,0.0001568115,0.0002971135,0.0001072148,0.470526],"genre_scores_gemma":[0.6453814,0.001177024,0.00167265,0.0005822149,0.00003618224,0.00006097191,0.0002992724,0.00006277517,0.3507275],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8822823,"threshold_uncertainty_score":0.234065,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00650044306353507,"score_gpt":0.2002142314691021,"score_spread":0.193713788405567,"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."}}