{"id":"W4297348056","doi":"10.1002/hyp.14717","title":"Does academic research have practical relevance? A question of translating hydrology research into practice","year":2022,"lang":"en","type":"article","venue":"Hydrological Processes","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Global Institute for Water Security; University of Calgary; University of Saskatchewan; Alberta Environment and Protected Areas","funders":"","keywords":"Relevance (law); Process (computing); Management science; Computer science; Engineering ethics; Political science; Engineering","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":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.3569278,0.0009457326,0.00281679,0.005071411,0.007686381,0.03046667,0.006885939,0.02663524,0.01105723],"category_scores_gemma":[0.672092,0.0009101541,0.001544557,0.006715298,0.07481262,0.05006906,0.01499132,0.02244214,0.002847294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01867023,"about_ca_system_score_gemma":0.07083996,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007809214,"about_ca_topic_score_gemma":0.00533218,"domain_scores_codex":[0.6806538,0.2551949,0.01525235,0.01134402,0.03070148,0.006853425],"domain_scores_gemma":[0.2086603,0.6755271,0.01528443,0.0294145,0.05828727,0.01282642],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.000138861,0.0001553321,0.001585509,0.005196376,0.0000981545,0.0003655682,0.02710534,0.0005910841,0.0002402245,0.7313715,0.1421681,0.09098404],"study_design_scores_gemma":[0.0001756596,0.0002042214,0.001371449,0.01714263,0.00007113558,0.0002194058,0.0362228,0.001032226,0.0004436301,0.6800078,0.263006,0.0001030476],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.0008052558,0.006899562,0.001622947,0.980938,0.004193695,0.00003594428,0.00002101253,0.00002373901,0.005459804],"genre_scores_gemma":[0.3816134,0.0402717,0.02056803,0.5195451,0.0315927,0.001027726,0.0001168392,0.0003030335,0.004961438],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6430721,"threshold_uncertainty_score":0.7930225,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1026586969148828,"score_gpt":0.4278352148457006,"score_spread":0.3251765179308178,"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."}}