{"id":"W2980724537","doi":"10.1144/geochem2019-049","title":"Advances in ICP-MS technology and the application of multi-element geochemistry to exploration","year":2019,"lang":"en","type":"article","venue":"Geochemistry Exploration Environment Analysis","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geology; Geochemistry; Earth science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004485239,0.001472718,0.001306702,0.004637893,0.0007674833,0.002256153,0.00157114,0.002000293,0.003894415],"category_scores_gemma":[0.003572854,0.0009431927,0.001358974,0.006808018,0.001753376,0.003721891,0.00265294,0.003374967,0.002586283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001563293,"about_ca_system_score_gemma":0.00251683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002545865,"about_ca_topic_score_gemma":0.002533979,"domain_scores_codex":[0.9926166,0.0008566916,0.0003503199,0.002065123,0.003892762,0.0002184405],"domain_scores_gemma":[0.9972818,0.0007387834,0.0002968948,0.0002923814,0.001311627,0.00007852187],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002462084,0.0001392377,0.008658011,0.005398098,0.0003777667,0.0007732167,0.000685079,0.003094318,0.2303203,0.03104042,0.01580105,0.7034662],"study_design_scores_gemma":[0.0000268296,0.0002777688,0.01039712,0.0006340721,0.0002326946,0.00298889,0.0005084513,0.007955742,0.2161442,0.04017486,0.7204531,0.0002062213],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03587655,0.2394121,0.6496322,0.01085761,0.003294889,0.000360603,0.002680012,0.003196388,0.05468966],"genre_scores_gemma":[0.1443504,0.1997712,0.6259104,0.004098352,0.002398141,0.0004998856,0.002322312,0.000725726,0.01992362],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004637893,"threshold_uncertainty_score":0.02372044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008512018575053024,"score_gpt":0.2165732647396228,"score_spread":0.2080612461645698,"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."}}