{"id":"W2924737215","doi":"10.29173/ikc3916","title":"Kimberlitic olivine attrition: fingerprinting environments and timescales","year":2019,"lang":"en","type":"article","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Attrition; Olivine; Geology; Computer science; Geochemistry","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":[0.00004805814,0.00007071002,0.00007602142,0.0000282869,0.00002747467,0.00002855273,0.00003133785,0.00003043708,0.0003907055],"category_scores_gemma":[0.000004345533,0.00006683351,0.0000130821,0.0000310693,0.00001087545,0.00008653989,0.00002002201,0.00006378322,0.0002566713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001237591,"about_ca_system_score_gemma":0.000001118477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002931609,"about_ca_topic_score_gemma":6.796552e-7,"domain_scores_codex":[0.9996285,0.000003605483,0.0000834392,0.00009587504,0.00005672127,0.0001318704],"domain_scores_gemma":[0.9998603,0.00002359723,0.00000716648,0.00006957406,0.000001790734,0.00003755367],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000156844,0.0001477711,0.294411,0.003139726,0.0002429702,0.00003088224,0.001768294,0.05479698,0.4898148,0.005834779,0.008771271,0.1410258],"study_design_scores_gemma":[0.00286977,0.000169028,0.2308551,0.001238203,0.00008208537,0.0001821851,0.0005723439,0.6178579,0.05238506,0.002091394,0.08938024,0.00231667],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9648562,0.0003250031,0.0006617816,0.00003501648,0.00007433007,0.00003869332,5.774324e-7,0.0001102054,0.0338982],"genre_scores_gemma":[0.9918209,0.0000256148,0.0009509118,0.00003078766,0.00004681552,0.000001993939,0.000002387399,0.00001264908,0.007107916],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.563061,"threshold_uncertainty_score":0.4277951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00339705601213974,"score_gpt":0.1592872017146725,"score_spread":0.1558901457025328,"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."}}