{"id":"W2395046777","doi":"10.1016/j.fsi.2016.04.071","title":"Evaluating the potential role of vacuolization in enhancing or interfering with fish virus detection and replication","year":2016,"lang":"en","type":"article","venue":"Fish & Shellfish Immunology","topic":"Image and Video Stabilization","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Biology; Replication (statistics); Path (computing); Vacuolization; Computer science; Motion (physics); Shortest path problem; Cluster analysis; Artificial intelligence; Computer vision; Theoretical computer science; Computer network; Virology","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":[0.0005365157,0.0002346033,0.0002436337,0.0001315719,0.0002119745,0.0005339867,0.0003206683,0.0005049348,0.001687669],"category_scores_gemma":[0.0005084794,0.0001414576,0.0002501465,0.0001045899,0.000282532,0.0005036675,0.0001957208,0.0003217677,0.0002249275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004611289,"about_ca_system_score_gemma":0.0003564488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001593567,"about_ca_topic_score_gemma":0.001773248,"domain_scores_codex":[0.9997767,0.00005431959,0.00001690982,0.00004385932,0.00004097026,0.00006725336],"domain_scores_gemma":[0.9997537,0.0001138619,0.00003453767,0.0000246333,0.00004544635,0.00002791821],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002351798,0.00002810565,0.0005377355,0.00004762978,0.000004567366,0.00001458627,0.00001469533,0.00006152429,0.9977384,0.0001425051,0.00001204323,0.001163163],"study_design_scores_gemma":[0.00001912213,0.0004385973,0.002892075,0.000004324898,0.00002140068,0.00004987372,0.00003418962,0.001327527,0.9941502,0.00005951913,0.0009994353,0.000003845367],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923106,0.001514031,0.00452285,0.00007770675,0.00003054129,0.0000574965,0.0001060147,0.00005073768,0.00132994],"genre_scores_gemma":[0.9917873,0.0005736029,0.005492519,0.00004630316,0.00001114118,0.00003690674,0.0001308692,0.00001397295,0.001907411],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001687669,"threshold_uncertainty_score":0.005645812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01578232759458621,"score_gpt":0.2698530254431863,"score_spread":0.2540706978486001,"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."}}