{"id":"W2157054272","doi":"10.1128/aem.00318-07","title":"Molecular Characterization of Potential Microcystin-Producing Cyanobacteria in Lake Ontario Embayments and Nearshore Waters","year":2007,"lang":"en","type":"article","venue":"Applied and Environmental Microbiology","topic":"Aquatic Ecosystems and Phytoplankton Dynamics","field":"Environmental Science","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"New York Sea Grant, State University of New York; National Oceanic and Atmospheric Administration","keywords":"Microcystis; Microcystin; Biology; Cyanobacteria; Genotype; Shore; Botany; Ecology; Fishery; Gene; Genetics; Bacteria","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":[0.00008417782,0.0002158465,0.0001772504,0.0006624881,0.0005729249,0.0003682145,0.0001790416,0.0001765806,0.0005000453],"category_scores_gemma":[0.0003662053,0.0001692632,0.0001034888,0.0007898961,0.0002471954,0.0001803058,0.0002288398,0.0001070329,0.0001133444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001806599,"about_ca_system_score_gemma":0.001168154,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4158449,"about_ca_topic_score_gemma":0.6699463,"domain_scores_codex":[0.9998606,0.000005870865,0.000007653437,0.00003588396,0.0000572399,0.00003277801],"domain_scores_gemma":[0.9997948,0.00001421208,0.00005762917,0.00000626258,0.00009056404,0.00003653943],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002080852,0.00002603034,0.7572016,0.00007649531,0.00002632397,0.0002816764,0.002618551,0.0002290081,0.2277399,0.00005635421,0.0001215532,0.01141449],"study_design_scores_gemma":[0.000001311436,0.00002613974,0.9969659,0.000002301766,0.000006127323,0.00004724916,0.0003088908,0.000108723,0.002115032,0.000003772127,0.0004124078,0.000002053046],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99923,0.0001019383,0.00007818035,0.00001076327,4.856152e-7,0.000007347821,0.0002029463,0.000002109799,0.0003661974],"genre_scores_gemma":[0.9967107,0.0002175994,0.0004930826,0.00001364294,0.000001198115,0.00001739784,0.0008571683,0.000002702017,0.001686556],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5841551,"threshold_uncertainty_score":0.8268488,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0023361879363321,"score_gpt":0.1571783251688516,"score_spread":0.1548421372325195,"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."}}