{"id":"W2982173247","doi":"10.4095/213320","title":"Regional GIS database for the Abitibi Greenstone Belt, Ontario","year":2002,"lang":"en","type":"report","venue":"","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Greenstone belt; Database; Geology; Geography; Geochemistry; Computer science; Archean","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":[0.0004701073,0.0005819369,0.0005088157,0.004494278,0.001514057,0.001466206,0.000958673,0.0002374514,0.03394518],"category_scores_gemma":[0.002164356,0.000427325,0.0003584269,0.01487954,0.0002860716,0.0006097595,0.0007792878,0.0002776154,0.008756411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01492523,"about_ca_system_score_gemma":0.03429552,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9853917,"about_ca_topic_score_gemma":0.9927732,"domain_scores_codex":[0.9995106,0.00002099292,0.00004884939,0.0000650961,0.0002607693,0.00009358885],"domain_scores_gemma":[0.9981729,0.00008983387,0.000132642,0.0001464628,0.001315651,0.0001425094],"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":[0.0002573213,0.00006581457,0.06713364,0.001048933,0.00008230533,0.0002579493,0.001926984,0.002262623,0.002100516,0.00747555,0.837293,0.08009546],"study_design_scores_gemma":[0.0001134257,0.00001717853,0.2304312,0.0002012977,0.00007730962,0.0001316818,0.002255481,0.003711619,0.001441791,0.001014723,0.7605476,0.00005675274],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.02148942,0.0002681828,0.002214821,0.0002517346,0.00002280199,0.0003196269,0.9305401,0.00132557,0.04356778],"genre_scores_gemma":[0.06672781,0.001097205,0.01208508,0.00006163759,0.0000116338,0.0008463921,0.8498902,0.0004229752,0.068857],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03394518,"threshold_uncertainty_score":0.1135579,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09955708113993936,"score_gpt":0.2775592445751183,"score_spread":0.1780021634351789,"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."}}