{"id":"W1983895639","doi":"10.2118/112141-ms","title":"Real-Time Collaboration—Efficient Problem Solving and Extending Resources","year":2008,"lang":"en","type":"article","venue":"Intelligent Energy Conference and Exhibition","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Asset (computer security); Context (archaeology); Key (lock); Component (thermodynamics); Service (business); Knowledge management; Business; Computer security; Marketing","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":[0.004817247,0.0008436409,0.0006808301,0.001253754,0.001665483,0.006027822,0.003110695,0.002495576,0.008926862],"category_scores_gemma":[0.009864199,0.0004884222,0.0007202746,0.001559171,0.002861636,0.00763199,0.008714552,0.001937761,0.001888804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001517852,"about_ca_system_score_gemma":0.003756445,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002795328,"about_ca_topic_score_gemma":0.00284833,"domain_scores_codex":[0.9929451,0.003884055,0.000344575,0.001117498,0.001192322,0.0005164033],"domain_scores_gemma":[0.991759,0.004082568,0.0007758416,0.001725575,0.0007913267,0.0008657388],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007189223,0.001437222,0.003400395,0.0009841358,0.0001663724,0.001430524,0.01022704,0.1216872,0.01614499,0.2636292,0.02253316,0.5576409],"study_design_scores_gemma":[0.000321638,0.0005183003,0.001504594,0.0003894004,0.0000741921,0.0008054797,0.007957207,0.3426267,0.00825383,0.4648105,0.1726212,0.000117122],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07724583,0.001938155,0.8386596,0.007139364,0.0002311824,0.0003654805,0.000144119,0.002106365,0.07216986],"genre_scores_gemma":[0.491496,0.0009550028,0.4937526,0.0004752356,0.00009516512,0.0003506177,0.0003609573,0.0001812398,0.01233323],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008926862,"threshold_uncertainty_score":0.02986336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01963680688904218,"score_gpt":0.2446310155546542,"score_spread":0.2249942086656121,"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."}}