{"id":"W2119339035","doi":"10.6010/geoinformatics.12.58","title":"Spatial Prediction Models and Applications.","year":2001,"lang":"en","type":"article","venue":"GEOINFORMATICS","topic":"Data Management and Algorithms","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Geological Survey of Canada","funders":"","keywords":"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001045241,0.00005148628,0.00004644278,0.00005332736,0.00008236741,0.0001720916,0.0002620275,0.00001815212,0.000004030197],"category_scores_gemma":[0.000002310025,0.00004737144,0.00001001044,0.0001303322,0.00001437892,0.001776012,0.000203418,0.00003676226,0.00005715525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007112306,"about_ca_system_score_gemma":0.000006932361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009343786,"about_ca_topic_score_gemma":0.000001822012,"domain_scores_codex":[0.9995438,0.000003176375,0.0001420138,0.00007277256,0.0001280027,0.0001101962],"domain_scores_gemma":[0.999616,0.00000866476,0.00004284415,0.0002728027,0.00002072926,0.0000389226],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[7.887485e-7,0.00001559592,0.0001910424,0.000021674,0.000006811696,8.771629e-7,0.0003336187,0.001046481,5.105346e-7,0.1168358,0.002073756,0.879473],"study_design_scores_gemma":[0.0001153738,0.00001308437,0.0003471989,0.000002744695,0.000002874588,0.000008775221,0.00002595714,0.9145442,0.000002842306,0.01063917,0.07424777,0.00005005254],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0002762625,0.00001955084,0.9765194,0.0001449744,0.00006555145,0.0001495945,0.00000544619,0.0001244067,0.0226948],"genre_scores_gemma":[0.336158,0.001657288,0.6549949,0.001968049,0.0007244659,0.00025123,0.0003037059,0.00002160174,0.00392081],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9134977,"threshold_uncertainty_score":0.1931751,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01481949010953788,"score_gpt":0.2121460048233019,"score_spread":0.197326514713764,"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."}}