{"id":"W7029509247","doi":"","title":"Inventory of land use and land use practices in the Canadian Great Lakes Basin: Report of the International Reference Group on Great Lakes Pollution from Land Use Activities, Volume IV, Canadian Lake Erie Basin","year":2018,"lang":"en","type":"report","venue":"The Atrium (University of Guelph)","topic":"Libraries and Information Services","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Land use; Structural basin; Recreation; Volume (thermodynamics); Hydrology (agriculture); Pollution; Drainage basin; Baseline (sea)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006206552,0.0002249679,0.0003787452,0.0003413122,0.0005817162,0.00041651,0.0006940845,0.0002010253,0.001185292],"category_scores_gemma":[0.000235724,0.0001525656,0.0001138805,0.0001133724,0.0006889376,0.002599435,0.0001398271,0.0003340909,0.000003533995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001977159,"about_ca_system_score_gemma":0.00125126,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9821466,"about_ca_topic_score_gemma":0.9995633,"domain_scores_codex":[0.9983587,0.0002021704,0.0003509835,0.0002339334,0.0006279937,0.0002262778],"domain_scores_gemma":[0.9972452,0.0002999379,0.001369827,0.0005798211,0.0003981042,0.0001070987],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003775271,0.00006184862,0.8686629,0.0002122179,0.0005176227,0.0001053678,0.03550972,0.0000128188,0.000009518304,0.00283397,0.09145492,0.0002415604],"study_design_scores_gemma":[0.0002069902,0.00005138811,0.3745045,0.0001464073,0.0001104551,0.00001819961,0.003814723,0.00004096033,0.00000123649,0.00005038971,0.6209386,0.0001161394],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9653844,0.00008343434,3.870267e-7,0.003236277,0.0005761602,0.0003261527,0.009107054,0.00001166292,0.02127451],"genre_scores_gemma":[0.9869018,0.0004642534,0.0000140715,0.0003631543,0.0002619544,9.179454e-7,0.001302146,0.00001462121,0.01067712],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5294837,"threshold_uncertainty_score":0.9997278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07692867953127842,"score_gpt":0.2240997261695693,"score_spread":0.1471710466382909,"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."}}