{"id":"W4240151671","doi":"10.4095/221528","title":"A GIS dataset compilation of lead and zinc occurrences for the Targeted Geoscience Initiative project: potential for carbonate-hosted Pb-Zn (MVT) deposits in northern Alberta and southern Northwest Territories (NTS blocks 74, 84, 85)","year":2005,"lang":"en","type":"report","venue":"","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Geology; Carbonate; Geochemistry; Lead (geology); Earth science; Mining engineering; Geomorphology; Metallurgy; Materials science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000209288,0.0008886365,0.000448005,0.005072974,0.0007050084,0.001010115,0.000935844,0.0003913288,0.01238423],"category_scores_gemma":[0.001119392,0.0003378633,0.0004413909,0.01360238,0.0002679783,0.0004279181,0.0007709603,0.0004684741,0.004898504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004138067,"about_ca_system_score_gemma":0.006705474,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8028333,"about_ca_topic_score_gemma":0.9066139,"domain_scores_codex":[0.999667,0.0000139344,0.00002318352,0.00007694263,0.0001454227,0.00007343905],"domain_scores_gemma":[0.9989255,0.00008501791,0.0000962884,0.00006878588,0.0007031304,0.0001211308],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001255966,0.00007291463,0.05509569,0.001335646,0.0001278431,0.0003099498,0.000820365,0.004533125,0.00173004,0.002210979,0.8969022,0.03673562],"study_design_scores_gemma":[0.00006603225,0.00001834375,0.1651359,0.0004744566,0.00005956137,0.0001676596,0.002668252,0.003252798,0.001403829,0.0009891759,0.8257009,0.00006304483],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.004383721,0.00008213863,0.0002216172,0.00003095952,0.000009818063,0.00002198801,0.9927192,0.0002075823,0.002322942],"genre_scores_gemma":[0.01060133,0.0001653086,0.001977821,0.00001643512,0.000003439927,0.00007491843,0.9855078,0.00005047391,0.001602518],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1971667,"threshold_uncertainty_score":0.3966556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03306065836542512,"score_gpt":0.2772040105898818,"score_spread":0.2441433522244567,"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."}}