{"id":"W2509850945","doi":"","title":"Advances in Exploration Geophysics II","year":2014,"lang":"en","type":"article","venue":"2014 AGU Fall Meeting","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Geology; Geophysics; Remote sensing","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":[0.0004261326,0.0001117788,0.0001385996,0.00008051835,0.00004968513,0.00002192635,0.00009353428,0.00005346859,0.000002620635],"category_scores_gemma":[0.0001353922,0.0001170657,0.00002971156,0.0001353706,0.000007226213,0.0003861309,0.0000211872,0.0001276409,0.00003482251],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002624745,"about_ca_system_score_gemma":0.000002722947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003086135,"about_ca_topic_score_gemma":0.00007901478,"domain_scores_codex":[0.9993129,0.00004949949,0.0002019986,0.0001231982,0.0001174216,0.0001949174],"domain_scores_gemma":[0.9996241,0.0001299732,0.00002372809,0.0001595772,0.00002211815,0.00004046805],"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":[0.000001353226,0.000004246858,0.002006448,0.00004350589,0.000001559789,2.969014e-7,0.0002251584,0.9804817,0.0009926013,0.0004635925,0.00007943357,0.01570004],"study_design_scores_gemma":[0.0002434908,0.00001724221,0.0009728663,0.00006198094,0.000002161186,2.708371e-7,0.00003333677,0.9728857,0.0007374398,0.001485992,0.02339601,0.0001635064],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7178724,0.0006026429,0.2583828,0.00003283529,0.0004261601,0.00007871609,5.429805e-7,0.0003771142,0.02222681],"genre_scores_gemma":[0.9782302,0.000250247,0.02117092,0.00001193768,0.000219944,0.00001686846,0.000006417322,0.00002927186,0.00006412932],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2603578,"threshold_uncertainty_score":0.4773801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01317471380248406,"score_gpt":0.2550593001727717,"score_spread":0.2418845863702876,"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."}}