{"id":"W6930933682","doi":"10.5281/zenodo.14859916","title":"Raven Hydrological Modelling Framework","year":2025,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Hatch (Canada); University of British Columbia; Imperial College of Toronto; Université de Sherbrooke; École de Technologie Supérieure; University of Waterloo; Ouranos; National Research Council Canada; Ontario Power Generation; BC Hydro (Canada)","funders":"","keywords":"Set (abstract data type); Hydrological modelling; Context (archaeology); Field (mathematics)","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":[0.001464787,0.001837256,0.00110611,0.001136554,0.0005600645,0.003050334,0.003540355,0.001520324,0.1173912],"category_scores_gemma":[0.004547415,0.001436622,0.002828178,0.0008710374,0.0005967407,0.00299683,0.002205105,0.002980917,0.06694784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007817738,"about_ca_system_score_gemma":0.002003824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01416531,"about_ca_topic_score_gemma":0.01426603,"domain_scores_codex":[0.9992591,0.0001189344,0.00006428632,0.0002488169,0.0002125131,0.00009637541],"domain_scores_gemma":[0.9990802,0.0002049377,0.00003088743,0.0003390336,0.000287343,0.00005755845],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003249623,0.0001314071,0.001538974,0.0007580059,0.0003872247,0.000212763,0.0004119038,0.1516939,0.003466412,0.08305568,0.6123117,0.1457071],"study_design_scores_gemma":[0.0002246325,0.00002306315,0.0003306069,0.0001260714,0.00008396402,0.00007836,0.00006158835,0.2663621,0.00495273,0.05184295,0.6758085,0.0001054807],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.002304218,0.0002600611,0.4998686,0.0006203197,0.0008067031,0.0001630787,0.05247926,0.3936537,0.04984407],"genre_scores_gemma":[0.0628616,0.0005663094,0.5579283,0.001633841,0.0003644836,0.0008350603,0.1270696,0.1805607,0.06818011],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.1173912,"threshold_uncertainty_score":0.3927127,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04327216117750493,"score_gpt":0.2715777952074635,"score_spread":0.2283056340299586,"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."}}