{"id":"W2110003375","doi":"10.1144/1467-7873/03-045","title":"Vertical ionic migration: mechanisms, soil anomalies, and sampling depth for mineral exploration","year":2005,"lang":"en","type":"article","venue":"Geochemistry Exploration Environment Analysis","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":69,"is_retracted":false,"has_abstract":true,"ca_institutions":"SGS (Canada)","funders":"","keywords":"Mineral exploration; Geology; Geochemistry; Mineral; Sampling (signal processing); Mineralogy; Mining engineering; Geomorphology; Soil science; Chemistry; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001152421,0.0003615442,0.0002851624,0.0005004107,0.0001767676,0.0004933503,0.000450846,0.0003617298,0.001409388],"category_scores_gemma":[0.004067854,0.000255643,0.0001851918,0.0007275146,0.0003052901,0.001015582,0.0005724871,0.0001763958,0.0002524543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006133374,"about_ca_system_score_gemma":0.0004153158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002583007,"about_ca_topic_score_gemma":0.003312303,"domain_scores_codex":[0.9997116,0.000111076,0.00001602013,0.00005404153,0.00006632058,0.00004107125],"domain_scores_gemma":[0.9984365,0.0007775604,0.0003260166,0.0001672934,0.0002112688,0.00008134953],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001160419,0.0001365175,0.4286388,0.0006573368,0.0001238591,0.0002530912,0.0001938107,0.02304283,0.2317592,0.008263293,0.00133196,0.3044389],"study_design_scores_gemma":[0.0001232607,0.0006319279,0.5454191,0.0001297922,0.0003042642,0.001727457,0.0004642167,0.3157527,0.1100283,0.01760627,0.007690339,0.0001223506],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9125321,0.004842212,0.07652143,0.000900805,0.00004287708,0.00009550711,0.0006070205,0.0005763871,0.003881724],"genre_scores_gemma":[0.9838365,0.0006513016,0.01466038,0.00003661694,0.0000149754,0.00003022698,0.0001097265,0.00002911911,0.0006312277],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002583007,"threshold_uncertainty_score":0.006094694,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.028747148121193,"score_gpt":0.2287833451955728,"score_spread":0.2000361970743798,"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."}}