{"id":"W3015689518","doi":"10.3390/toxins12040232","title":"Cylindrospermopsin- and Deoxycylindrospermopsin-Producing Raphidiopsis raciborskii and Microcystin-Producing Microcystis spp. in Meiktila Lake, Myanmar","year":2020,"lang":"en","type":"article","venue":"Toxins","topic":"Aquatic Ecosystems and Phytoplankton Dynamics","field":"Environmental Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Cyanobacteria; Microcystin; Cylindrospermopsin; Microcystis; Microcystis aeruginosa; Cylindrospermopsis raciborskii; Cyanotoxin; Biology; Toxin; Botany; Environmental chemistry; Microbiology; Chemistry; Bacteria","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0001463728,0.0003487329,0.0002876201,0.0009172881,0.0004728603,0.000463194,0.0002268761,0.0002642255,0.0003098173],"category_scores_gemma":[0.0001674487,0.0003314707,0.0002920553,0.0007047464,0.0002736938,0.0004214951,0.0004539179,0.0002337508,0.00009546196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004171056,"about_ca_system_score_gemma":0.000323979,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01128504,"about_ca_topic_score_gemma":0.0188148,"domain_scores_codex":[0.9997479,0.00001791099,0.00003135716,0.0001060471,0.00005414291,0.00004264532],"domain_scores_gemma":[0.9998349,0.00001255943,0.00008205441,0.000009440924,0.00003080793,0.00003036549],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.000313897,0.0001456525,0.4150223,0.0001201627,0.00006714269,0.001155135,0.002099711,0.000276197,0.5748631,0.00004320756,0.00008782775,0.00580565],"study_design_scores_gemma":[0.000005382759,0.0001898551,0.9925138,0.000006073913,0.00002311814,0.0003450855,0.0009996968,0.0003049845,0.005341943,0.000008353543,0.0002529836,0.000008791049],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997322,0.00005100038,0.00001986047,0.000005885049,3.887827e-7,0.000005892591,0.00009803618,0.00000137667,0.00008547932],"genre_scores_gemma":[0.9991373,0.00007018894,0.0001745283,0.000007976369,0.00000138559,0.00002214957,0.00032267,0.000001167142,0.0002626781],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01128504,"threshold_uncertainty_score":0.0224387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01117965485246879,"score_gpt":0.2080946604503452,"score_spread":0.1969150055978764,"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."}}