{"id":"W2043737049","doi":"10.2118/150431-ms","title":"A Stack Model and Capabilities Approach to Investigate Integrated Operations Across Different Industrial Sectors – O&amp;G Industry versus Aviation, Military and Medicine","year":2012,"lang":"en","type":"article","venue":"SPE Intelligent Energy International","topic":"Technology Assessment and Management","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Petro-Canada","funders":"","keywords":"Aviation; Stack (abstract data type); Military aviation; Petroleum industry; Enhanced Data Rates for GSM Evolution; Engineering; Computer science; Operations research; Telecommunications; Aerospace engineering; Environmental engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000157869,0.0002417293,0.0001951255,0.0002146252,0.00008677284,0.00003384968,0.0001873587,0.0002633668,0.00007867522],"category_scores_gemma":[0.0000956502,0.0002113307,0.00002547192,0.0001433358,0.0001751604,0.0002477378,0.0001592417,0.0003648917,0.000003707134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002212952,"about_ca_system_score_gemma":0.00001639019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004427386,"about_ca_topic_score_gemma":0.0008932002,"domain_scores_codex":[0.9988873,0.00002643176,0.0003266431,0.000236297,0.0002317955,0.0002915207],"domain_scores_gemma":[0.9995014,0.00004392796,0.00002267607,0.0001717731,0.00007176353,0.0001884809],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002410757,0.0004597723,0.03231371,0.00007647023,0.001533252,0.000001952989,0.01377862,0.4862788,0.002496265,0.4145108,0.0260419,0.02226737],"study_design_scores_gemma":[0.005346941,0.0004726275,0.01472728,0.0003078448,0.0002754993,0.00003108162,0.01782928,0.8382028,0.01084332,0.01122041,0.09849007,0.00225278],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9244618,0.0003226932,0.07038674,0.0008516925,0.00152186,0.0001653203,0.00006688725,0.0002112466,0.002011792],"genre_scores_gemma":[0.9960331,0.000235048,0.001923345,0.0001282171,0.0002969461,0.0001009133,0.0002745717,0.00002505648,0.0009828111],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4032905,"threshold_uncertainty_score":0.8617817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06053070980947373,"score_gpt":0.2908679056711977,"score_spread":0.230337195861724,"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."}}