{"id":"W3081747811","doi":"10.22541/au.158082935.56266220","title":"A new flow for Canadian young hydrologists: Key scientific challenges addressed by research cultural shifts","year":2020,"lang":"en","type":"dataset","venue":"Authorea","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; University of Toronto; Environment and Climate Change Canada; University of Waterloo; McMaster University; École de Technologie Supérieure; Toronto Metropolitan University; Dalhousie University; McGill University; Simon Fraser University; University of Manitoba; University of Guelph; University of Saskatchewan","funders":"","keywords":"Library science; Sociology; Media studies; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.06335069,0.001814282,0.00226267,0.006050231,0.03063318,0.02777499,0.00614656,0.01673316,0.01923097],"category_scores_gemma":[0.06643678,0.001109355,0.001786196,0.007865986,0.02287891,0.0227771,0.01638879,0.02543991,0.003535725],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0900316,"about_ca_system_score_gemma":0.3764262,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8642285,"about_ca_topic_score_gemma":0.9390284,"domain_scores_codex":[0.9791918,0.004055687,0.001047485,0.001778757,0.008609404,0.005316827],"domain_scores_gemma":[0.8124256,0.02323287,0.004317365,0.005549147,0.07667147,0.07780356],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008214958,0.0000597195,0.002364374,0.0004984085,0.0000357992,0.0002262968,0.002907143,0.0001811644,0.0003908279,0.02150602,0.8915961,0.08015196],"study_design_scores_gemma":[0.00004087601,0.00003745181,0.003264345,0.001270146,0.0000349653,0.0001017388,0.0137885,0.0003281302,0.0001911476,0.02668843,0.9540811,0.0001732787],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"dataset","genre_scores_codex":[0.0007019359,0.02108065,0.000805175,0.9653164,0.009120083,0.0000310561,0.0003096728,0.0001048071,0.002530223],"genre_scores_gemma":[0.06192838,0.1527979,0.02834268,0.690591,0.02571369,0.0004100807,0.001913218,0.0005622898,0.03774079],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.9366493,"threshold_uncertainty_score":0.653228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08823125033038637,"score_gpt":0.3204723257002633,"score_spread":0.2322410753698769,"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."}}