{"id":"W2981361338","doi":"10.4095/215830","title":"Canada's MERA process and the role of Earth sciences","year":2004,"lang":"en","type":"report","venue":"","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Process (computing); Earth (classical element); Earth science; Astrobiology; Environmental science; Political science; Geology; Computer science; Biology; Physics; Astronomy; Operating system","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000599266,0.0001247658,0.0002555903,0.00005554166,0.00004176088,0.00002301798,0.0001448177,0.0000718106,0.00002646482],"category_scores_gemma":[0.0001250615,0.00007634357,0.00003026176,0.0001557845,0.00008864489,0.00002896413,0.00001464709,0.0001532935,1.74482e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002329579,"about_ca_system_score_gemma":0.001337989,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.231557,"about_ca_topic_score_gemma":0.08325125,"domain_scores_codex":[0.9990439,0.00001497881,0.0002109647,0.0001070079,0.0004962852,0.0001268178],"domain_scores_gemma":[0.9995804,0.0001212945,0.00003612132,0.0001300092,0.00009592478,0.00003626403],"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":[0.000001010895,7.654386e-7,0.000102759,0.0002093365,0.00002542132,5.326085e-7,0.00003559303,0.9980273,0.00000780319,0.0004215087,0.00009750365,0.00107043],"study_design_scores_gemma":[0.0008712726,0.00002275538,0.001449283,0.0003288621,0.00006871399,0.00003661336,0.0002051043,0.7233829,0.005614222,0.00225105,0.2652251,0.000544041],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05732821,0.03091771,0.009464585,0.0001790336,0.001089921,0.0005705853,0.00004362259,0.0002851767,0.9001212],"genre_scores_gemma":[0.9937175,0.001007884,0.003410953,0.000007806008,0.0001066799,0.00001294351,0.000003963591,0.00002704324,0.001705209],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9363893,"threshold_uncertainty_score":0.933477,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01464884672713143,"score_gpt":0.2762959058242561,"score_spread":0.2616470590971247,"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."}}