{"id":"W2944056538","doi":"10.23939/ep2019.01.045","title":"Detection of Cyanotoxins in Lake Torment (Nova Scotia, Canada)","year":2019,"lang":"en","type":"article","venue":"Environmental Problems","topic":"Aquatic Ecosystems and Phytoplankton Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Nova scotia; Cyanotoxin; Recreation; Recreational use; Environmental science; Algal bloom; Water body; Fishery; Geography; Ecology; Biology; Archaeology; Microcystin; Environmental engineering; Phytoplankton","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001657485,0.0002342247,0.0001486493,0.001252096,0.001480584,0.0005492417,0.0002741278,0.0001679901,0.00154001],"category_scores_gemma":[0.0004346821,0.0001400807,0.0001447249,0.001584579,0.0003111541,0.0001475036,0.0004323491,0.0001869782,0.0002199907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007813767,"about_ca_system_score_gemma":0.007934668,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9786213,"about_ca_topic_score_gemma":0.9920949,"domain_scores_codex":[0.9996893,0.00001270414,0.00001573442,0.00003630828,0.00016609,0.00007977456],"domain_scores_gemma":[0.9994,0.00002149885,0.00008266468,0.000008048447,0.0004022495,0.00008549999],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003047978,0.00004380655,0.8790736,0.0003166136,0.00004054571,0.0008540915,0.002289215,0.0005649937,0.08222525,0.0001785031,0.001661224,0.03244744],"study_design_scores_gemma":[0.000003689776,0.00005666734,0.988694,0.00003747251,0.00001545199,0.0001400925,0.001378517,0.0002345609,0.004483333,0.00001391181,0.004931432,0.00001089612],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9851569,0.001218721,0.0005767874,0.0002120494,0.00001792629,0.00006466942,0.002249763,0.00003056131,0.01047254],"genre_scores_gemma":[0.9841484,0.00136358,0.001487476,0.0001440865,0.000004039281,0.00002029998,0.001425578,0.000008899143,0.01139768],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0213787,"threshold_uncertainty_score":0.05669314,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003494044502833337,"score_gpt":0.1593680355423263,"score_spread":0.155873991039493,"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."}}