{"id":"W6929654234","doi":"10.5061/dryad.g79cnp5nr","title":"Datasets relating (i) A wetland fish multimetric index to variation in agricultural stress among Laurentian Great Lakes coastal wetlands, (ii) Cyanobacteria biomass to total phosphorus concentrations among Canadian lakes","year":2020,"lang":"en","type":"dataset","venue":"Open MIND","topic":"Physical Activity and Health","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; Thompson Rivers University","funders":"","keywords":"Wetland; Biomass (ecology); Agriculture; Index (typography); Environmental stress; Phosphorus; Fish <Actinopterygii>; Cyanobacteria","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":[],"consensus_categories":[],"category_scores_codex":[0.0006031156,0.001480138,0.0007925979,0.002506419,0.0009178035,0.00104923,0.001895093,0.001242401,0.005879279],"category_scores_gemma":[0.003434154,0.0003873341,0.001082232,0.005763893,0.000486128,0.0003856608,0.001211072,0.0008780345,0.003458994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004105905,"about_ca_system_score_gemma":0.006775827,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7421465,"about_ca_topic_score_gemma":0.8665684,"domain_scores_codex":[0.9994332,0.00004310741,0.00004658072,0.0001584171,0.0001829095,0.0001357683],"domain_scores_gemma":[0.9984223,0.0002522434,0.0001636386,0.0001869062,0.0007477526,0.0002271768],"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":[0.0003716475,0.0001031872,0.05871651,0.001553267,0.0004599805,0.0001708886,0.0001502846,0.003718627,0.000923539,0.0008832286,0.9220876,0.01086131],"study_design_scores_gemma":[0.0005370142,0.00007532709,0.395314,0.0005643934,0.0002783109,0.0002454861,0.0004395368,0.00535898,0.001193456,0.001188515,0.5946512,0.0001539128],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002811664,0.0001380509,0.00005434447,0.00007885492,0.00001219208,0.00001084719,0.9963275,0.0001197528,0.0004467299],"genre_scores_gemma":[0.003420442,0.00005730079,0.0002289299,0.00003836284,0.000004846501,0.00003024488,0.9958645,0.00001017794,0.0003452791],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2578535,"threshold_uncertainty_score":0.5187441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02381508461828397,"score_gpt":0.2820848752153436,"score_spread":0.2582697905970597,"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."}}