{"id":"W4399787566","doi":"10.1007/s11053-024-10369-7","title":"Predictive Modeling of Canadian Carbonatite-Hosted REE +/− Nb Deposits","year":2024,"lang":"en","type":"article","venue":"Natural Resources Research","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick; Laurentian University; Geological Survey of Canada; Natural Resources Canada","funders":"Natural Resources Canada","keywords":"Prospectivity mapping; Carbonatite; Interpretability; Convolutional neural network; Computer science; Mineral exploration; Geology; Cheminformatics; Data mining; Machine learning; Geochemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0008866058,0.0004954478,0.0002886907,0.0008233638,0.0003451132,0.00063367,0.0009211167,0.000405045,0.0006701282],"category_scores_gemma":[0.001822375,0.0002076111,0.0005010596,0.000630554,0.0003797965,0.0004557536,0.0004295337,0.0004706435,0.00009082829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002971897,"about_ca_system_score_gemma":0.002011048,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3930415,"about_ca_topic_score_gemma":0.3786135,"domain_scores_codex":[0.9998747,0.0000213018,0.000004497837,0.00003945357,0.00003248799,0.00002745112],"domain_scores_gemma":[0.999388,0.0002795997,0.00007964077,0.00003728884,0.0001822133,0.00003333086],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004554205,0.000017793,0.01580393,0.00001304208,0.00001850682,0.00004107724,0.00001670367,0.9761397,0.0005842391,0.0007598764,0.0001914788,0.006368019],"study_design_scores_gemma":[0.000001813455,0.000005515397,0.002326848,0.000001875426,0.000003508479,0.000005694525,0.000009231277,0.9968726,0.0003645999,0.0003299656,0.00007531622,0.000002988788],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9751078,0.0001153076,0.02189795,0.0001921785,0.000007012959,0.00002618222,0.0005688314,0.0001430037,0.001941654],"genre_scores_gemma":[0.9961457,0.00003054877,0.003056602,0.000009791219,0.000002121566,0.000005051473,0.0002866882,0.000006122737,0.0004572977],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6069585,"threshold_uncertainty_score":0.7815076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04810079055644492,"score_gpt":0.30670340742511,"score_spread":0.258602616868665,"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."}}