{"id":"W4415784001","doi":"10.1002/rra.70072","title":"Evaluating the Interpretation Uncertainty From the Manual Streambank Delineation","year":2025,"lang":"en","type":"article","venue":"River Research and Applications","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Channel (broadcasting); Hydrology (agriculture); Outlier; Range (aeronautics); Pixel; Centroid; Position (finance); Calibration","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008385504,0.0008088995,0.0004731579,0.003103006,0.0008520794,0.001969936,0.0008935917,0.0006200963,0.0008048893],"category_scores_gemma":[0.02708406,0.0003095988,0.0006385384,0.001438338,0.0008838468,0.001126371,0.001503801,0.000468191,0.0001822121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001450244,"about_ca_system_score_gemma":0.001290032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03018234,"about_ca_topic_score_gemma":0.03668219,"domain_scores_codex":[0.9938793,0.001472204,0.000515615,0.001083975,0.002815948,0.0002329518],"domain_scores_gemma":[0.9714845,0.01775099,0.002777007,0.001866674,0.00584837,0.0002724696],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001232,0.0001609543,0.4474642,0.0009026368,0.00118387,0.0005866928,0.003907097,0.1969848,0.03337165,0.002699014,0.004771661,0.3067354],"study_design_scores_gemma":[0.00007633535,0.0003307109,0.4723909,0.0003187764,0.000553695,0.0005558904,0.002742363,0.4643423,0.04249574,0.00456652,0.01130808,0.000318729],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8564673,0.001306156,0.133645,0.0001781439,0.0000717368,0.0002056714,0.002081505,0.001041768,0.005002651],"genre_scores_gemma":[0.9412053,0.0001529275,0.05642881,0.00005503174,0.00002287353,0.0000800772,0.001410249,0.0001404019,0.0005041866],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03018234,"threshold_uncertainty_score":0.06001329,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0541334817914224,"score_gpt":0.4143811020435958,"score_spread":0.3602476202521734,"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."}}