{"id":"W1990500640","doi":"10.1144/gsl.sp.2005.248.01.07","title":"Terrane and basement discrimination in northern Britain using sulphur isotopes and mineralogy of ore deposits","year":2005,"lang":"en","type":"article","venue":"Geological Society London Special Publications","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geology; Terrane; Geochemistry; Basement; Isotope; Archaeology; Paleontology; Tectonics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002985624,0.0001126896,0.0001773121,0.00003944148,0.0001421742,0.00006439735,0.0002553514,0.0001219776,0.00004139925],"category_scores_gemma":[0.0001430159,0.00009905119,0.00005189809,0.000335031,0.0001867236,0.0003035458,0.0002820367,0.0001274508,0.000001210996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004213271,"about_ca_system_score_gemma":0.00003045588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001646025,"about_ca_topic_score_gemma":0.001630148,"domain_scores_codex":[0.9989229,0.00005786878,0.0002962791,0.0003542682,0.0001355876,0.0002331105],"domain_scores_gemma":[0.9993924,0.00008794507,0.000108488,0.0001981839,0.0001391617,0.0000737731],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000170034,0.0008208727,0.7244305,0.0001154768,0.00004927891,0.000004626916,0.005355716,0.001435437,0.0168345,0.1438948,0.002443191,0.1045985],"study_design_scores_gemma":[0.000798612,0.00007929988,0.9307733,0.0000218229,0.00001446179,0.00004401079,0.000405065,0.0416746,0.0008760777,0.008756102,0.01627546,0.0002811547],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.94348,0.0002148421,0.021424,0.0322919,0.0000297438,0.0002163016,0.000003743732,0.00003925831,0.002300234],"genre_scores_gemma":[0.9759361,0.00006873011,0.02308725,0.0003156893,0.0001981072,0.00002047405,0.00001931774,0.000001631598,0.0003526897],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2063428,"threshold_uncertainty_score":0.403919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0224370372447856,"score_gpt":0.2437799290084001,"score_spread":0.2213428917636145,"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."}}