{"id":"W4251063164","doi":"10.1190/tle25081014.1","title":"GAC Spotlight","year":2006,"lang":"en","type":"article","venue":"The Leading Edge","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Calgary Laboratory Services; University of Calgary","funders":"","keywords":"Exhibition; Chevron (anatomy); Theme (computing); Political science; Engineering; Management; Library science; History; Art history; World Wide Web; Economics; Computer science","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":[0.0001993373,0.00008061864,0.00008265059,0.00004053161,0.0000495592,0.00003126119,0.000133394,0.00003684821,0.00002879634],"category_scores_gemma":[0.00001491915,0.00005861272,0.00003707018,0.0001378426,0.00001414473,0.00004651378,0.000009733901,0.0001187295,0.0003021023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002590544,"about_ca_system_score_gemma":0.00000224723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005477588,"about_ca_topic_score_gemma":0.000001643194,"domain_scores_codex":[0.9995754,0.00001888162,0.0001023002,0.00006265228,0.00007618529,0.0001645731],"domain_scores_gemma":[0.9996585,0.0001015202,0.000007474077,0.0002019663,0.000009723869,0.00002083314],"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":[7.92053e-7,0.000002113192,0.0001916785,0.00001240869,0.000005480388,0.000001511766,0.00005985732,0.9779594,0.003473585,0.002190785,0.01515159,0.0009507982],"study_design_scores_gemma":[0.0002382477,0.000006498187,0.004350446,0.00002113941,0.00001116482,0.000007779839,0.000008960492,0.5870691,0.01390297,0.002123366,0.3920369,0.0002234183],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6792394,0.0009960543,0.1787171,0.0002842592,0.001183406,0.0001102642,0.000002124277,0.00144043,0.138027],"genre_scores_gemma":[0.9888933,0.000009695357,0.003670201,0.00001702651,0.0004493665,0.000005416627,0.000002694258,0.0000312716,0.006920976],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3908903,"threshold_uncertainty_score":0.3883014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01382033227545649,"score_gpt":0.246896514890261,"score_spread":0.2330761826148045,"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."}}