{"id":"W4205888044","doi":"10.5194/hess-2020-409","title":"A history of TOPMODEL","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Natural Environment Research Council; Sight Research UK","keywords":"Calibration; Terrain; Simple (philosophy); Computer science; Epistemology; Mathematics; Geography; Cartography; Statistics; Philosophy","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":[0.005713159,0.0009554438,0.001249441,0.001853521,0.001344933,0.008092827,0.003466997,0.002157273,0.01472001],"category_scores_gemma":[0.01256303,0.0008927372,0.001703392,0.004050098,0.004061709,0.009172465,0.004677258,0.00735023,0.005160671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003820841,"about_ca_system_score_gemma":0.005153408,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008488589,"about_ca_topic_score_gemma":0.003056536,"domain_scores_codex":[0.9967632,0.001263763,0.0001602391,0.0004959755,0.001149909,0.0001668457],"domain_scores_gemma":[0.992313,0.003783439,0.0001972167,0.001786331,0.001461876,0.0004581737],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007599288,0.00005178609,0.001062849,0.0004669788,0.0001528536,0.0001218595,0.000343723,0.05857648,0.0003510301,0.7017961,0.06487897,0.1721214],"study_design_scores_gemma":[0.00002219607,0.00003704405,0.0003111535,0.0005289337,0.00004036713,0.0001050162,0.0001158143,0.08587187,0.0006797896,0.504416,0.4078046,0.0000673289],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.003353483,0.01892455,0.8504692,0.02646979,0.003132976,0.00008266109,0.00172583,0.005691648,0.09014989],"genre_scores_gemma":[0.2816301,0.06695944,0.5818348,0.01490191,0.006299094,0.0007301883,0.006755145,0.008506769,0.0323826],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01472001,"threshold_uncertainty_score":0.04924339,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0320706531868632,"score_gpt":0.2147564683002507,"score_spread":0.1826858151133876,"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."}}