{"id":"W6893135840","doi":"10.5281/zenodo.14976872","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":[0.001222348,0.001181998,0.0009259207,0.004573554,0.002192603,0.003668132,0.002389864,0.001036746,0.8032925],"category_scores_gemma":[0.007413947,0.0007693465,0.0006873521,0.008935834,0.0004252254,0.001196096,0.001234997,0.001181392,0.363854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007540619,"about_ca_system_score_gemma":0.01600832,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4107039,"about_ca_topic_score_gemma":0.5677579,"domain_scores_codex":[0.9986725,0.0000930328,0.00006795159,0.000180885,0.0008232245,0.0001623675],"domain_scores_gemma":[0.9931085,0.001054452,0.0001676459,0.0004361275,0.004821126,0.0004121693],"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":[0.00002231103,0.00002418264,0.0001659251,0.0002635269,0.000003790967,0.00001893494,0.00004083271,0.0002835466,0.00008992321,0.001303292,0.9772736,0.02051014],"study_design_scores_gemma":[0.00001671632,0.000009785093,0.00127487,0.0002108136,0.000007177529,0.00003046105,0.00005693159,0.0001029073,0.000180926,0.001223773,0.9968726,0.00001296278],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0008554599,0.001991556,0.004391838,0.001894458,0.002899651,0.0005749323,0.721809,0.003468202,0.262115],"genre_scores_gemma":[0.004436613,0.003370086,0.009548148,0.0009086914,0.0005892306,0.0005736261,0.5462256,0.002448777,0.4318992],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8032925,"threshold_uncertainty_score":0.8166267,"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."}}