{"id":"W1974096347","doi":"10.2118/162249-ms","title":"Analysis of Finding and Development Costs in Western Canada: Looking for Most Cost Efficient Unconventional Plays","year":2012,"lang":"en","type":"article","venue":"SPE Canadian Unconventional Resources Conference","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Production (economics); Performance indicator; Fossil fuel; Natural resource economics; Environmental economics; Unconventional oil; Operating expense; Business; Industrial organization; Economics; Operations research; Operations management; Marketing; Engineering; Finance; Microeconomics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006297433,0.0004361186,0.0003421569,0.003445609,0.001042406,0.001977951,0.0009024084,0.0002626356,0.00226342],"category_scores_gemma":[0.002421717,0.0003506553,0.0005705775,0.006140146,0.0004857345,0.000659105,0.0006230082,0.0003671401,0.0001308818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03303571,"about_ca_system_score_gemma":0.02330522,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.980858,"about_ca_topic_score_gemma":0.9863514,"domain_scores_codex":[0.9993626,0.00005085896,0.00002627024,0.00006759704,0.0003131193,0.0001795164],"domain_scores_gemma":[0.9981778,0.0004110168,0.0003265528,0.00004400318,0.0008768166,0.0001638],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003230297,0.0001473675,0.7148233,0.000282609,0.0002656337,0.0006292973,0.001623142,0.2305629,0.003460066,0.00664984,0.001612079,0.0396207],"study_design_scores_gemma":[0.00001380334,0.0001207944,0.763957,0.00007000146,0.0001249633,0.0000935707,0.008223825,0.2196696,0.002481331,0.0007557304,0.004406426,0.00008303071],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924797,0.0001498279,0.001305585,0.0000924798,0.000001493064,0.00005253184,0.001680753,0.00002180837,0.004215834],"genre_scores_gemma":[0.9946033,0.0001701764,0.001663651,0.00001025457,7.286581e-7,0.00001970728,0.001123979,0.000008435321,0.002399766],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03303571,"threshold_uncertainty_score":0.239692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03095240548762379,"score_gpt":0.2598874557497529,"score_spread":0.2289350502621291,"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."}}