{"id":"W6949202346","doi":"10.5281/zenodo.14630271","title":"Supplementary Materials Chapter 5","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":"Evapotranspiration; Climate change; Water cycle; Work (physics)","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":[0.001224459,0.001181972,0.0009263835,0.004627214,0.002186601,0.003735562,0.002387448,0.001042232,0.806092],"category_scores_gemma":[0.007584143,0.0007755107,0.0006960061,0.009170021,0.0004283015,0.001215775,0.001240229,0.001189679,0.370089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007601008,"about_ca_system_score_gemma":0.01598796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4099795,"about_ca_topic_score_gemma":0.5646836,"domain_scores_codex":[0.9986567,0.00009399151,0.00006892619,0.0001824772,0.0008340297,0.0001637226],"domain_scores_gemma":[0.9929259,0.001093086,0.0001712114,0.0004461174,0.004946571,0.0004172399],"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":[0.00002215728,0.00002422548,0.0001639429,0.0002625275,0.000003787361,0.00001886934,0.00004083899,0.0002839878,0.0000875452,0.001313077,0.9774666,0.02031243],"study_design_scores_gemma":[0.00001684541,0.000009741781,0.001275253,0.0002139671,0.000007177065,0.00003029916,0.00005793076,0.0001025792,0.0001796247,0.001235927,0.9968576,0.00001306849],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0008408352,0.001928489,0.004303574,0.00187929,0.002850862,0.0005729786,0.7195686,0.003404019,0.2646514],"genre_scores_gemma":[0.004357577,0.003316523,0.009345275,0.0009041643,0.0005867417,0.0005751067,0.5426275,0.002450933,0.4358361],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.806092,"threshold_uncertainty_score":0.8151863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01881391149040905,"score_gpt":0.2346410352693958,"score_spread":0.2158271237789868,"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."}}