{"id":"W3007424144","doi":"","title":"The CAnadian Surface Prediction ARchive (CaSPAr): A Platform to Enhance Environmental Modelling in Canada and Globally","year":2017,"lang":"en","type":"article","venue":"AGU Fall Meeting Abstracts","topic":"Geological Modeling and Analysis","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Geography; Environmental science; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001833351,0.001395791,0.0007248192,0.002408484,0.002750985,0.003154966,0.003470227,0.0009612665,0.01845314],"category_scores_gemma":[0.006339718,0.000626418,0.001156913,0.005379284,0.000688608,0.003182207,0.002781522,0.00201493,0.005042122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01787316,"about_ca_system_score_gemma":0.07189115,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.990158,"about_ca_topic_score_gemma":0.9886937,"domain_scores_codex":[0.9989492,0.0000804163,0.00005059387,0.0001127628,0.0006507782,0.0001562213],"domain_scores_gemma":[0.9944044,0.0002373289,0.0001795359,0.0005112034,0.004078076,0.0005893772],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002452055,0.0001214054,0.02474111,0.0002922079,0.0003623874,0.0001504644,0.0004894281,0.1247119,0.001851489,0.01699873,0.7269173,0.1031183],"study_design_scores_gemma":[0.0003309578,0.00003413761,0.02992068,0.0003345695,0.0002624227,0.00006705169,0.001074006,0.3530089,0.003886399,0.01241745,0.5983242,0.000339245],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.06580631,0.001776795,0.1205156,0.009814993,0.001328722,0.0006737016,0.6246825,0.06089997,0.1145015],"genre_scores_gemma":[0.3016637,0.002780079,0.2008325,0.001055288,0.0001373684,0.0005987923,0.4501686,0.01219407,0.03056958],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01845314,"threshold_uncertainty_score":0.1296794,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01460947406813544,"score_gpt":0.1949454560563615,"score_spread":0.180335981988226,"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."}}