{"id":"W7044270699","doi":"","title":"Watershed Classification in the Great Lakes Basin: Implications for Water Quality and Agricultural Management Practices","year":2024,"lang":"en","type":"dissertation","venue":"UWSpace (University of Waterloo)","topic":"X-ray Diffraction in Crystallography","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Water quality; Climate change; Agriculture; Watershed; Land cover; Algal bloom; Land use; Watershed management; Climate pattern","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006724696,0.0002212309,0.0002834472,0.0002691687,0.0002923816,0.0001659562,0.0004373495,0.000192057,0.0000836939],"category_scores_gemma":[0.00001732288,0.0001479994,0.0001377836,0.0001977982,0.0001186842,0.0004840026,0.00005519679,0.0001677535,0.00003300182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006536577,"about_ca_system_score_gemma":0.00001519705,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004687533,"about_ca_topic_score_gemma":0.01841104,"domain_scores_codex":[0.9985531,0.0001792951,0.0002318477,0.0005362891,0.0002366928,0.0002627634],"domain_scores_gemma":[0.9989002,0.0001296367,0.0004038,0.0003626727,0.0001607071,0.0000429698],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0004892605,0.0002413704,0.002132139,0.003107108,0.0001983603,0.000009457893,0.2099132,0.00001547071,0.769648,0.006102684,0.006993318,0.001149586],"study_design_scores_gemma":[0.0005922125,0.00008214666,0.5297786,0.0001520025,0.0004751044,0.000006242134,0.4532954,0.00002068288,0.005163838,0.002178719,0.007857452,0.0003976288],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9862206,0.00005854504,0.00001552314,0.01163821,0.0002964666,0.0009282321,0.0001100515,0.00006102637,0.0006713758],"genre_scores_gemma":[0.9099242,0.0002441724,0.00200812,0.0000557049,0.00006026313,0.00004293237,0.002123432,0.00002568072,0.08551547],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7644842,"threshold_uncertainty_score":0.9995004,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04082792512336817,"score_gpt":0.2871787274905468,"score_spread":0.2463508023671787,"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."}}