{"id":"W2085598220","doi":"10.1144/1467-7873/10-im-035","title":"Identifying kimberlite indicator mineral dispersal trains in the Pelly Bay region, Nunavut, Canada using GIS interpolation","year":2011,"lang":"en","type":"article","venue":"Geochemistry Exploration Environment Analysis","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Bay; Biological dispersal; Train; Geography; Kimberlite; Geology; Environmental science; Physical geography; Oceanography; Cartography; Geochemistry","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":[0.0003739428,0.0002250924,0.0002252895,0.0001167754,0.000184606,0.0001004301,0.0007525956,0.0000972044,0.000279533],"category_scores_gemma":[0.00004006462,0.0001993534,0.0001461151,0.0007178944,0.00007347511,0.0005707412,0.0001394167,0.0002032569,0.000006842771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002465716,"about_ca_system_score_gemma":0.00009274589,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01487497,"about_ca_topic_score_gemma":0.03581829,"domain_scores_codex":[0.9980888,0.0001196575,0.0004576859,0.0005588158,0.0004512445,0.0003237492],"domain_scores_gemma":[0.9988293,0.00004202651,0.0002954839,0.0007234303,0.00002321285,0.00008651794],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009828763,0.001078747,0.6590147,0.0002702808,0.002056646,0.0006395963,0.1084405,0.07206776,0.1454422,0.002998721,0.003996561,0.003896059],"study_design_scores_gemma":[0.0006380067,0.00003134924,0.05742538,0.00005895899,0.0005664254,0.0000355982,0.009956326,0.9038981,0.0208916,0.001915645,0.003530493,0.001052154],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5089833,0.00008365742,0.4860202,0.001816969,0.00006812959,0.0002387932,0.000007920416,0.00004403217,0.002736978],"genre_scores_gemma":[0.9960285,0.00002125936,0.003206874,0.000156348,0.00005719931,0.00004483069,0.0001331186,0.000003819311,0.0003480184],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8318303,"threshold_uncertainty_score":0.991685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03755286799643681,"score_gpt":0.2152640728884971,"score_spread":0.1777112048920603,"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."}}