{"id":"W6964571245","doi":"10.25607/obp-1709","title":"GlobalHAB: Evaluating, Reducing and Mitigating the Cost of Harmful Algal Blooms: A Compendium of Case Studies.","year":2020,"lang":"en","type":"other","venue":"IOC of UNESCO (Intergovernmental Oceanographic Commission)","topic":"","field":"","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Compendium; Algal bloom; Economic impact analysis; Economic cost; Fishing; Cost effectiveness","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":[0.01170836,0.002435173,0.001083629,0.009404919,0.0008855551,0.003426271,0.003227997,0.002090658,0.006877961],"category_scores_gemma":[0.01715323,0.000776992,0.001891902,0.01015643,0.001292582,0.003309312,0.003232684,0.00148065,0.00179964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003860003,"about_ca_system_score_gemma":0.006619508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01229936,"about_ca_topic_score_gemma":0.02719131,"domain_scores_codex":[0.9933528,0.002748053,0.0008157823,0.0003003232,0.002507932,0.000275117],"domain_scores_gemma":[0.9917517,0.00466053,0.0009730392,0.0007509841,0.001674346,0.0001893906],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00009525324,0.0002917171,0.005666502,0.01457598,0.0003104535,0.001486556,0.001086062,0.009827101,0.001728374,0.03409966,0.1134777,0.8173546],"study_design_scores_gemma":[0.00004920146,0.0003148247,0.007103193,0.03324153,0.0005529872,0.0035557,0.003180178,0.008824832,0.004736884,0.03382611,0.9044548,0.0001599222],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"other","genre_scores_codex":[0.02727467,0.5263187,0.1873265,0.02343256,0.002751213,0.004815251,0.01282202,0.001780254,0.2134789],"genre_scores_gemma":[0.07819989,0.4777086,0.4136178,0.003118982,0.0004992118,0.003514795,0.008214376,0.0005538116,0.01457248],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01229936,"threshold_uncertainty_score":0.0619204,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04080719226785814,"score_gpt":0.3370364536313663,"score_spread":0.2962292613635082,"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."}}