{"id":"W2992401949","doi":"10.2175/193864717822156082","title":"Using Models for Training","year":2017,"lang":"en","type":"article","venue":"Proceedings of the Water Environment Federation","topic":"Human Resource Development and Performance Evaluation","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hydromantis Environmental Software Solutions (Canada)","funders":"","keywords":"Training (meteorology); Computer science; Geography; Meteorology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00325734,0.00182159,0.001050136,0.001577462,0.0007727746,0.002241103,0.001996923,0.002249619,0.01114212],"category_scores_gemma":[0.01935662,0.001191177,0.001651899,0.0010172,0.0006039732,0.003976757,0.001254858,0.003846115,0.003936005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001611548,"about_ca_system_score_gemma":0.00122713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01135205,"about_ca_topic_score_gemma":0.01531415,"domain_scores_codex":[0.9982901,0.0008807173,0.00008714666,0.0004569578,0.0001821878,0.0001028814],"domain_scores_gemma":[0.9880752,0.009902552,0.0002212102,0.0009638594,0.0007082925,0.0001289027],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002427751,0.0001634642,0.002860599,0.0001739734,0.0002148287,0.00008214098,0.0001282878,0.8064418,0.0009120476,0.01257584,0.01032614,0.1658781],"study_design_scores_gemma":[0.000008033822,0.00001724516,0.0001294777,0.00002609742,0.00001777903,0.000009988515,0.00001560244,0.9877274,0.0004163109,0.01031566,0.001309992,0.00000637058],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02690632,0.001058057,0.9556127,0.001441183,0.0003523495,0.000119052,0.001193123,0.004502991,0.008814285],"genre_scores_gemma":[0.7207913,0.0007537226,0.2578978,0.0006940503,0.0001831845,0.0005496357,0.004639106,0.001169022,0.01332215],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01135205,"threshold_uncertainty_score":0.03727406,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1998226792241878,"score_gpt":0.3371265082201167,"score_spread":0.1373038289959289,"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."}}