{"id":"W6911856962","doi":"10.5281/zenodo.14976849","title":"Supplementary Materials Chapter 4","year":2025,"lang":"en","type":"dissertation","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Riparian zone; Cover (algebra); Land use; Land cover; Aquatic ecosystem","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001310769,0.001209891,0.0009282026,0.005435196,0.002720248,0.003738282,0.00254747,0.0009407569,0.8041294],"category_scores_gemma":[0.007457008,0.0008059242,0.0007059567,0.0112023,0.0004740734,0.001063265,0.00118074,0.00111049,0.3322592],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01038448,"about_ca_system_score_gemma":0.02557188,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6469064,"about_ca_topic_score_gemma":0.7989892,"domain_scores_codex":[0.9986417,0.00007946222,0.00006703923,0.0001784708,0.000839838,0.0001934561],"domain_scores_gemma":[0.9909909,0.001199702,0.000208228,0.0005003371,0.006551377,0.000549413],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001970187,0.00002010801,0.0002543952,0.0002146036,0.000003436626,0.00001696052,0.00003733585,0.000220914,0.00007194738,0.0009033523,0.9824997,0.01573754],"study_design_scores_gemma":[0.00002198499,0.000009287731,0.002308792,0.0001994531,0.000008277065,0.00003241223,0.00007818425,0.0001208252,0.0001796151,0.001146538,0.9958797,0.00001482828],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0007706314,0.001077312,0.002508512,0.001225475,0.001584698,0.0004402554,0.8282565,0.002346895,0.1617898],"genre_scores_gemma":[0.004220689,0.002353749,0.008041272,0.0007226451,0.0003984102,0.0005150528,0.6201663,0.001962037,0.3616198],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8041294,"threshold_uncertainty_score":0.7103461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01894597962682464,"score_gpt":0.2348578716431226,"score_spread":0.215911892016298,"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."}}