{"id":"W2968600716","doi":"10.1002/ps.5580","title":"Synthesis of new tetronamides displaying inhibitory activity against bloom‐forming cyanobacteria","year":2019,"lang":"en","type":"article","venue":"Pest Management Science","topic":"Organic Chemistry Synthesis Methods","field":"Chemistry","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Università degli Studi di Ferrara; Fundação de Amparo à Pesquisa do Estado de Minas Gerais; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Cyanobacteria; Bloom; Inhibitory postsynaptic potential; Biology; Algal bloom; Ecology; Bacteria; Phytoplankton; Neuroscience; Genetics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00009012135,0.000406121,0.0001783548,0.0001477913,0.00007596964,0.0001267013,0.0002043196,0.0002016807,0.001236874],"category_scores_gemma":[0.000102121,0.0001135369,0.0001552123,0.0001394494,0.0001216138,0.0002117202,0.000210501,0.000297571,0.0003648124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001818018,"about_ca_system_score_gemma":0.0001584282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004516711,"about_ca_topic_score_gemma":0.0007851173,"domain_scores_codex":[0.9999336,0.000009739901,0.000005804678,0.00001380097,0.00001675739,0.00002015705],"domain_scores_gemma":[0.9999388,0.000006064856,0.00002075834,0.000004644378,0.00001406908,0.0000156009],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005604421,0.00002800473,0.0001686064,0.000140299,0.00001113058,0.00009458881,0.00003598458,0.0002624702,0.9939795,0.0003144972,0.00007981509,0.004829144],"study_design_scores_gemma":[0.00002048155,0.0008172193,0.001514756,0.00001282429,0.0000244965,0.0001901165,0.00003110022,0.0006511318,0.9901727,0.00005334829,0.006498164,0.00001350741],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9786596,0.004158519,0.01095632,0.00008538632,0.00004615569,0.00009249815,0.0004238509,0.00016326,0.005414483],"genre_scores_gemma":[0.9871523,0.002870717,0.005936595,0.00006599309,0.00001106855,0.00005040476,0.0003429586,0.00002131355,0.003548634],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001236874,"threshold_uncertainty_score":0.004137814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01202777564935078,"score_gpt":0.2535323767913941,"score_spread":0.2415046011420433,"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."}}