{"id":"W3022551009","doi":"","title":"Opening Plenary Session 16th World Petroleum Congress Calgary, Alberta, Canada - Balance between industry and environment: The Alberta Advantage","year":2000,"lang":"en","type":"article","venue":"16th World Petroleum Congress","topic":"Global Energy and Sustainability Research","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Plenary session; Petroleum; Petroleum industry; Political science; Session (web analytics); Environmental protection; Public administration; Business; Environmental science; Library science; Computer science; Geology; Advertising; Environmental engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006563243,0.0008516926,0.0009824482,0.0002708955,0.0011472,0.0003340141,0.001451813,0.0003676276,0.009211228],"category_scores_gemma":[0.0001526915,0.0006795289,0.0001805196,0.0006512725,0.0007418282,0.0005715126,0.0006915187,0.002251297,0.0001372951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006992769,"about_ca_system_score_gemma":0.0006074623,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7327992,"about_ca_topic_score_gemma":0.88422,"domain_scores_codex":[0.9937083,0.0008711717,0.0009270936,0.001353663,0.001255432,0.001884354],"domain_scores_gemma":[0.9955466,0.001769481,0.0002585834,0.001505772,0.00008558298,0.0008339346],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001217846,0.0002612486,0.8979936,0.0002784565,0.0006527197,0.0007612334,0.0003731312,0.02934759,0.00005906705,0.01055119,0.0191895,0.03931438],"study_design_scores_gemma":[0.00229909,0.00008890867,0.04608085,0.0002346512,0.0001216033,0.00004336535,0.0005341014,0.006911761,0.0002913952,0.0005521872,0.9418702,0.0009718681],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7320756,0.001378684,0.0000059616,0.006374924,0.0006333199,0.0005053729,0.0001246335,0.00008812713,0.2588134],"genre_scores_gemma":[0.6340688,0.0001073901,0.00002271288,0.0006243936,0.0002617727,0.0001157195,0.0001790532,0.00007476794,0.3645454],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9226807,"threshold_uncertainty_score":0.9995656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008299723203431583,"score_gpt":0.2377718654379511,"score_spread":0.2294721422345195,"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."}}