{"id":"W4379505865","doi":"10.5281/zenodo.8007362","title":"HAB detection within Aquaculture Industry: A Case Study in the Atlantic Area","year":2023,"lang":"en","type":"paratext","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Identification and Quantification in Food","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Society of Intestinal Research","funders":"","keywords":"Aquaculture; Fishery; Business; Computer science; Environmental resource management; Environmental science; Fish <Actinopterygii>; Biology","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":[0.0004917844,0.0003377305,0.0002173284,0.0006564648,0.001243354,0.0007316404,0.0004499607,0.001166159,0.001717166],"category_scores_gemma":[0.001031197,0.0001339889,0.0003181824,0.0008064036,0.0005539915,0.0003864661,0.0007650914,0.0003627526,0.0003702389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00113595,"about_ca_system_score_gemma":0.001090163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05469263,"about_ca_topic_score_gemma":0.1188747,"domain_scores_codex":[0.9995864,0.00007021956,0.00001748663,0.00006636415,0.0001466998,0.000112873],"domain_scores_gemma":[0.9992335,0.0002733512,0.00009439814,0.00005501255,0.0002232826,0.0001205686],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005566494,0.001705649,0.6980001,0.0004410957,0.00009647973,0.06938798,0.01302865,0.01720836,0.03849567,0.001474249,0.004076907,0.1555281],"study_design_scores_gemma":[0.00005166921,0.0012439,0.8094109,0.0001802529,0.0001769373,0.01787422,0.06589669,0.05536985,0.02178119,0.001648096,0.02627287,0.00009332551],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927903,0.00008845575,0.003035986,0.0002833725,0.0000120574,0.00006303238,0.0001774433,0.00004041084,0.003508863],"genre_scores_gemma":[0.9890128,0.0002064884,0.003847667,0.00007018234,0.00001200772,0.00001652049,0.0001594611,0.000016688,0.006658138],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05469263,"threshold_uncertainty_score":0.1087486,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06788660505719889,"score_gpt":0.3000710214134659,"score_spread":0.232184416356267,"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."}}