{"id":"W7043607793","doi":"","title":"Subwatershed planning","year":2019,"lang":"en","type":"report","venue":"The Atrium (University of Guelph)","topic":"Enzyme Structure and Function","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Natural resource management; Land management; Land-use planning; Land use; Natural resource; Resource (disambiguation); Land information system; Work (physics); Resource management (computing)","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":[0.00154927,0.000559344,0.0002676759,0.002093406,0.002435167,0.003443172,0.001866322,0.001136282,0.1389873],"category_scores_gemma":[0.002799147,0.0004672225,0.0004206085,0.003180088,0.0005386716,0.001440011,0.002908831,0.00108255,0.02475396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003704344,"about_ca_system_score_gemma":0.01450209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05224605,"about_ca_topic_score_gemma":0.08712164,"domain_scores_codex":[0.9985261,0.0002967523,0.0001148494,0.000209106,0.0005519321,0.0003012355],"domain_scores_gemma":[0.9985025,0.000146826,0.0001277066,0.0001627398,0.0007667565,0.000293489],"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":[0.00007805537,0.00008914935,0.004539066,0.0003173825,0.00001527218,0.0006741837,0.002083056,0.004021247,0.0009161528,0.168389,0.5614061,0.2574714],"study_design_scores_gemma":[0.000005957631,0.00001750461,0.002072027,0.00004736668,0.000003626356,0.00007163848,0.0004488376,0.0005050861,0.0001659267,0.005232551,0.9914201,0.000009266956],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01646796,0.001873619,0.02591659,0.00541558,0.001007323,0.001510787,0.0155688,0.001512709,0.9307267],"genre_scores_gemma":[0.08767122,0.00322056,0.07439902,0.00191867,0.0002455377,0.001561534,0.0262054,0.0007323917,0.8040456],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1389873,"threshold_uncertainty_score":0.4649587,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03039251266138325,"score_gpt":0.2392553089955929,"score_spread":0.2088627963342096,"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."}}