{"id":"W4303476516","doi":"10.1016/j.hal.2022.102320","title":"Environmental, human health and socioeconomic impacts of Ostreopsis spp. Blooms in the NW Mediterranean","year":2022,"lang":"en","type":"article","venue":"Harmful Algae","topic":"Marine Toxins and Detection Methods","field":"Environmental Science","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universitat de Barcelona; Centre National de la Recherche Scientifique; Agència de Gestió d'Ajuts Universitaris i de Recerca; Ministerio de Economía y Competitividad; Bundesministerium für Bildung und Forschung; Ministerio de Ciencia, Innovación y Universidades; Agence Nationale de la Recherche; Réseau de cancérologie Rossy; Unitatea Executiva pentru Finantarea Invatamantului Superior, a Cercetarii, Dezvoltarii si Inovarii; Svenska Forskningsrådet Formas","keywords":"Algal bloom; Mediterranean climate; Benthic zone; Ecotoxicology; Mediterranean sea; Human health; Environmental health; Biology; Environmental science; Ecology; Medicine; Phytoplankton","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0003906646,0.0001916094,0.0001729488,0.0004491368,0.0002207989,0.0003237839,0.0001037949,0.0001630023,0.0004342126],"category_scores_gemma":[0.000347435,0.00006205268,0.0001801645,0.0004052258,0.0001880038,0.0001439438,0.0004892015,0.00008592245,0.00005620646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006531012,"about_ca_system_score_gemma":0.0003628823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0177301,"about_ca_topic_score_gemma":0.02164906,"domain_scores_codex":[0.9998251,0.00005340124,0.0000136786,0.00003672815,0.00004094978,0.00003018635],"domain_scores_gemma":[0.9998019,0.00002140018,0.00009840074,0.00001047299,0.00003717484,0.00003053704],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002890246,0.00005460018,0.9205058,0.0002636711,0.0001157596,0.001170268,0.001446624,0.0004797047,0.01295098,0.000185696,0.0005338838,0.06200404],"study_design_scores_gemma":[0.000001714579,0.00008198593,0.9965693,0.00001699011,0.00001190615,0.0001619819,0.0006585123,0.00006417297,0.0002013559,0.00003735894,0.002192139,0.00000254161],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956315,0.002083829,0.000144681,0.0001480501,0.000008710223,0.00001192023,0.0003086218,0.000004605987,0.001658151],"genre_scores_gemma":[0.9965845,0.002262997,0.0004432376,0.00006042019,0.000016207,0.000009179174,0.0002304351,0.000001743303,0.0003912556],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0177301,"threshold_uncertainty_score":0.03525382,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0184702270648962,"score_gpt":0.2771890132937095,"score_spread":0.2587187862288133,"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."}}