{"id":"W2103080325","doi":"10.3354/aei00125","title":"Factors influencing disease-induced mortality of Pacific oysters Crassostrea gigas","year":2015,"lang":"en","type":"article","venue":"Aquaculture Environment Interactions","topic":"Marine Bivalve and Aquaculture Studies","field":"Environmental Science","cited_by":159,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agence Nationale de la Recherche; Institut Français de Recherche pour l'Exploitation de la Mer; Université Laval","keywords":"Crassostrea; Pacific oyster; Oyster; Fishery; Biology; Abalone; Aquaculture; Veterinary medicine; Zoology; Toxicology; Fish <Actinopterygii>; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001343526,0.0003316681,0.0003138406,0.00003986415,0.0001709877,0.00003246581,0.0002610999,0.00006692673,0.00156248],"category_scores_gemma":[0.00009995381,0.000238949,0.0002222046,0.0001581792,0.0001875012,0.0004743964,0.0002944517,0.0002513714,0.0005305513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003530485,"about_ca_system_score_gemma":0.00001219605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005603073,"about_ca_topic_score_gemma":0.0002441257,"domain_scores_codex":[0.9981337,0.00008824104,0.0004190958,0.0004567928,0.0005835013,0.0003186452],"domain_scores_gemma":[0.9988513,0.00005291174,0.0002479124,0.0004709654,0.00001322209,0.0003636743],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002830844,0.0003387829,0.9502515,0.00001435025,0.0001801267,0.000008370365,0.004768799,0.0006498187,0.02275007,0.00008748021,0.02065716,0.0002652048],"study_design_scores_gemma":[0.0004189149,0.000107524,0.8636664,0.00003957184,0.0002239311,0.000003374704,0.01085357,0.00007177019,0.004305004,0.0003083258,0.1195172,0.0004844188],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.970304,0.00002833095,0.00007169606,0.0005534498,0.0002471328,0.0002733275,0.00005300185,0.00005505965,0.02841404],"genre_scores_gemma":[0.9955959,0.00002155928,0.0001283444,0.00008184976,0.00006802643,0.00003399492,0.00007584665,0.00001978484,0.003974649],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09886,"threshold_uncertainty_score":0.9993502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05668423482711872,"score_gpt":0.2856317735887495,"score_spread":0.2289475387616308,"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."}}