{"id":"W2950580653","doi":"10.1144/geochem2019-030","title":"Advances in exploration geochemistry, 2007 to 2017 and beyond","year":2019,"lang":"en","type":"article","venue":"Geochemistry Exploration Environment Analysis","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Geochemistry; Geology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003658997,0.0002783251,0.0003482392,0.0001702103,0.00009979869,0.0001304351,0.0004858661,0.0001454507,0.0006252982],"category_scores_gemma":[0.00006045273,0.0003044493,0.0001050364,0.0007346438,0.00004651264,0.001558006,0.0003136939,0.0001641575,0.0002203202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008731562,"about_ca_system_score_gemma":0.00002080984,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007020029,"about_ca_topic_score_gemma":0.000008989812,"domain_scores_codex":[0.9978212,0.00003945555,0.0004292562,0.0009361196,0.0003984381,0.0003755477],"domain_scores_gemma":[0.9986304,0.00005210374,0.0001950442,0.0009026392,0.00004283791,0.0001769517],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001312317,0.0008610977,0.08260478,0.0005110409,0.0005363399,0.00009283675,0.006176858,0.4698117,0.389746,0.0020727,0.006482946,0.04097246],"study_design_scores_gemma":[0.002293168,0.0002116207,0.006270408,0.0001285115,0.0003700853,0.00002273215,0.004193355,0.3564325,0.3714258,0.02150032,0.234272,0.002879418],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2033896,0.001764752,0.6625775,0.01821551,0.0002395046,0.00131753,0.00003033267,0.0002981379,0.1121671],"genre_scores_gemma":[0.9888919,0.000979852,0.00548075,0.0002291143,0.00007142064,0.0002013352,0.0002748674,0.000005330525,0.003865437],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7855023,"threshold_uncertainty_score":0.9999408,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01107609940936741,"score_gpt":0.2179016669049695,"score_spread":0.2068255674956021,"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."}}