{"id":"W6960946527","doi":"10.1371/journal.pone.0082706.g001","title":"Grand River Watershed (6,800 km&lt;sup&gt;2&lt;/sup&gt;), Ontario, Canada.","year":2015,"lang":"en","type":"other","venue":"Figshare","topic":"Wheat and Barley Genetics and Pathology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hydrology (agriculture); Watershed; Sampling (signal processing); Drainage basin; Water resources; Watershed area","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":[0.0002234975,0.0006949081,0.0003865426,0.0008856707,0.002966206,0.001555091,0.0009305687,0.0004373782,0.1708838],"category_scores_gemma":[0.000517935,0.0004587506,0.0002471827,0.00221701,0.0007632065,0.000444287,0.0005913774,0.0005164753,0.03114672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01610711,"about_ca_system_score_gemma":0.02779477,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9684903,"about_ca_topic_score_gemma":0.994379,"domain_scores_codex":[0.9996481,0.00001408981,0.000009709986,0.00009217016,0.0001439725,0.00009206519],"domain_scores_gemma":[0.9993974,0.00003538752,0.0000305755,0.00003139122,0.0003437019,0.0001615284],"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":[0.00027643,0.0001028829,0.02084985,0.0004310906,0.00003414462,0.0003775943,0.001014134,0.0004482697,0.004506619,0.005957205,0.8463256,0.1196762],"study_design_scores_gemma":[0.00009794462,0.00005216206,0.1100634,0.0001815269,0.00001829247,0.0001431845,0.001598267,0.0008509048,0.001242656,0.0008705366,0.8848476,0.00003335679],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.04904192,0.001347628,0.003623877,0.001941279,0.0003737098,0.0007685664,0.3054902,0.001985804,0.6354271],"genre_scores_gemma":[0.0699238,0.001072862,0.005514906,0.0003100044,0.00003085812,0.0001788466,0.06665602,0.0008232901,0.8554894],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1708838,"threshold_uncertainty_score":0.5716631,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02783264133783706,"score_gpt":0.195570567412941,"score_spread":0.1677379260751039,"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."}}