{"id":"W4408542560","doi":"10.37543/oceanides.v39i2.318","title":"EVALUACIÓN DE TEMPERATURA EN CULTIVO INTENSIVO DEL Litopenaeus vannamei EMPLEANDO RAZONAMIENTO DIFUSO","year":2025,"lang":"es","type":"article","venue":"CICIMAR Oceánides","topic":"Aquaculture Nutrition and Growth","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biology","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":[0.0002791968,0.0004675,0.0004458872,0.0002578645,0.0001675612,0.0006479288,0.0002459682,0.0003827395,0.0005573749],"category_scores_gemma":[0.00060045,0.000179952,0.000466754,0.0003812107,0.0001925195,0.000328703,0.0003016105,0.0002939005,0.0001420624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005388653,"about_ca_system_score_gemma":0.0003209665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008504505,"about_ca_topic_score_gemma":0.00893616,"domain_scores_codex":[0.999873,0.00001849582,0.00000726874,0.00005170943,0.00003281852,0.00001668878],"domain_scores_gemma":[0.9997491,0.0001095686,0.00004511356,0.00002137176,0.00005689708,0.00001790298],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001614455,0.0002526285,0.1882704,0.0004600503,0.0001629472,0.0001230455,0.0004815161,0.1472399,0.5981104,0.0002716389,0.0001520834,0.06286092],"study_design_scores_gemma":[0.00003820789,0.002503644,0.4438801,0.00004674374,0.0002737383,0.0001214307,0.0005680602,0.3217049,0.2284087,0.0004392095,0.001940097,0.00007522594],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925848,0.0001868225,0.006452234,0.00001418184,0.000004448434,0.00001643155,0.0001741186,0.00009166758,0.0004752809],"genre_scores_gemma":[0.995357,0.0001623206,0.003644873,0.00000558422,0.000001263818,0.00002759049,0.0002313863,0.00001264226,0.0005573643],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008504505,"threshold_uncertainty_score":0.01691002,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01291398357098642,"score_gpt":0.2911332616678156,"score_spread":0.2782192780968291,"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."}}