{"id":"W4402301421","doi":"10.2138/am-2024-9439","title":"The use of X-ray micro-computed tomography to visualize and quantify lithium-bearing silicate minerals in pegmatites: Examples from the Tanco Pegmatite, Manitoba, Canada","year":2024,"lang":"en","type":"article","venue":"American Mineralogist","topic":"Geological and Geochemical Analysis","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Manitoba Hydro; Western University; University of British Columbia","funders":"","keywords":"Pegmatite; Geology; Lithium (medication); Silicate; Geochemistry; Bearing (navigation); Mineralogy; Chemistry; Medicine; Computer science; Artificial intelligence","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":[0.0001737177,0.0001995617,0.0003375335,0.00007474238,0.0001490506,0.0002252984,0.0003654119,0.00003009677,0.0001224539],"category_scores_gemma":[0.0002344873,0.0001021821,0.00008627753,0.001218253,0.000549479,0.00008911427,0.00005924006,0.0001765938,0.00001191033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007299639,"about_ca_system_score_gemma":0.00004628148,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9790505,"about_ca_topic_score_gemma":0.9828274,"domain_scores_codex":[0.9984627,0.0001440545,0.0004074125,0.0003968918,0.0002420931,0.0003468676],"domain_scores_gemma":[0.9969257,0.002533942,0.0001018002,0.0002837723,0.00004522632,0.0001095588],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000234319,0.00001547772,0.9621511,0.00001939668,0.00008529101,0.00003288935,0.000221348,0.002973567,0.00899796,0.0001209821,0.009406478,0.01595215],"study_design_scores_gemma":[0.00005631935,0.00005590708,0.9533501,0.00004665275,0.00002949795,0.000003321576,0.000411552,0.01067432,0.0001246004,0.0004371027,0.03462987,0.0001808263],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916217,0.001948956,0.00006553997,0.005659321,0.00008915997,0.0001571878,0.0002969221,0.00002712282,0.0001340596],"genre_scores_gemma":[0.9956831,0.0001524819,0.002347791,0.001496597,0.00008791225,0.000005399691,0.0001435062,0.000004191268,0.00007901715],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02522339,"threshold_uncertainty_score":0.4166865,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03209094144748927,"score_gpt":0.2274273764200623,"score_spread":0.195336434972573,"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."}}