{"id":"W2983506020","doi":"","title":"Review of rates, capacities and costs of carbon mineralization in peridotite","year":2018,"lang":"en","type":"article","venue":"AGU Fall Meeting Abstracts","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Peridotite; Geology; Mineralization (soil science); Geochemistry; Natural resource economics; Economics; Mantle (geology); Soil 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":[0.0002793329,0.00008352142,0.0002160117,0.0001102334,0.00001119061,0.000005649972,0.00005020743,0.00004376377,0.000002129115],"category_scores_gemma":[0.0001762277,0.00007904292,0.00002561042,0.0002198877,0.00007348008,0.00006144249,0.000009927001,0.00005448144,0.000001193535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001995775,"about_ca_system_score_gemma":0.00001033988,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00444866,"about_ca_topic_score_gemma":0.006574265,"domain_scores_codex":[0.9992993,0.00003195803,0.000378161,0.0000852118,0.0001056811,0.00009969589],"domain_scores_gemma":[0.9996431,0.00003906347,0.00008690012,0.0001065894,0.00009122511,0.00003312301],"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":[0.00006514869,0.0002763807,0.3002753,0.04696583,0.0005443041,0.00003330506,0.0181974,0.3227068,0.2999213,0.0006011045,0.003388875,0.007024238],"study_design_scores_gemma":[0.00268774,0.0004531727,0.08435983,0.107399,0.0004460577,0.00002599803,0.003765204,0.5741619,0.2179722,0.0002227691,0.00656297,0.001943018],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9784334,0.0108028,0.00001315148,0.00004643237,0.00005669863,0.00007202473,0.000002277046,0.00002618258,0.01054708],"genre_scores_gemma":[0.9899862,0.009710805,0.0001772985,0.00004384435,0.00003332106,0.00000373867,0.00001154163,0.00001128847,0.00002195418],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2514552,"threshold_uncertainty_score":0.6725072,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01486751408682735,"score_gpt":0.2417791045755344,"score_spread":0.226911590488707,"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."}}