{"id":"W4409566488","doi":"10.1038/s41597-025-04907-y","title":"ROBIN: Reference observatory of basins for international hydrological climate change detection","year":2025,"lang":"en","type":"article","venue":"Scientific Data","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"U.S. Geological Survey; Natural Environment Research Council; Research Councils UK","keywords":"Streamflow; Climate change; Water cycle; Coupled model intercomparison project; Environmental science; Drainage basin; Climatology; Climate model; Global warming; Adaptation (eye); Global change; Scale (ratio); Identification (biology); Environmental resource management; Water resources; Hydrological modelling; Physical geography; Geography; Ecology; Geology; Cartography","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":[0.003060686,0.0006859662,0.0007072118,0.002101606,0.0006168296,0.001621758,0.001624267,0.0006216588,0.02256397],"category_scores_gemma":[0.008677634,0.0004017238,0.0003033272,0.005169707,0.0004307248,0.001909445,0.0022496,0.001042475,0.009736449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001167979,"about_ca_system_score_gemma":0.004509018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05668893,"about_ca_topic_score_gemma":0.05261157,"domain_scores_codex":[0.9981572,0.0003489337,0.0002031083,0.00047439,0.0006000159,0.0002162483],"domain_scores_gemma":[0.993247,0.0007115838,0.00129865,0.001946654,0.001807879,0.0009881515],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0003357366,0.0001138179,0.05043167,0.0003883505,0.00007269107,0.0001061487,0.0006404023,0.006324665,0.003848447,0.007792677,0.8557926,0.07415278],"study_design_scores_gemma":[0.0001850927,0.00005155267,0.07879303,0.0001069239,0.00002813516,0.00005641612,0.0002740028,0.01371767,0.002814988,0.004189247,0.899703,0.00007995783],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.02916689,0.0002766807,0.0181569,0.0008732129,0.0002702061,0.0003575924,0.9062123,0.01466045,0.03002577],"genre_scores_gemma":[0.08273352,0.0002254017,0.04823403,0.000326143,0.0001204781,0.0008389852,0.8555341,0.003880026,0.00810732],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05668893,"threshold_uncertainty_score":0.1127179,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1034002408458128,"score_gpt":0.3016252393294802,"score_spread":0.1982249984836674,"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."}}