{"id":"W2969363028","doi":"10.1038/s41467-019-11608-9","title":"Bacteria evoke alarm behaviour in zebrafish","year":2019,"lang":"en","type":"article","venue":"Nature Communications","topic":"Zebrafish Biomedical Research Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Advanced Research","funders":"National Institute of General Medical Sciences; Institute of Molecular and Cell Biology; Ministry of Education, India; Nanyang Technological University; Lee Kong Chian School of Medicine, Nanyang Technological University; Ministry of Education - Singapore; Agency for Science, Technology and Research; National Institutes of Health; U.S. Department of Health and Human Services","keywords":"Mucus; Bacteria; Zebrafish; ALARM; Biology; Microbiology; Population; Fish <Actinopterygii>; Cell biology; Ecology; Medicine; Fishery; Genetics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000283264,0.0001088387,0.0001126519,0.00009359646,0.00007418146,0.00003124341,0.00141268,0.0004054298,0.0001301724],"category_scores_gemma":[0.00028387,0.0001108607,0.00006309961,0.0003319659,0.0001330319,0.00000682528,0.0006746005,0.0007253072,0.0001886083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000351475,"about_ca_system_score_gemma":0.0001290142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003003063,"about_ca_topic_score_gemma":0.0008471939,"domain_scores_codex":[0.9989684,0.00011301,0.0002028086,0.0002807256,0.0001824094,0.0002526457],"domain_scores_gemma":[0.997371,0.00005979483,0.00005223848,0.002278164,0.0001193865,0.0001194462],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002985431,0.0004819724,0.09690246,0.0000109431,0.0000340149,9.514876e-7,0.00003980948,0.000001480801,0.8690229,0.005388938,0.02603141,0.002055291],"study_design_scores_gemma":[0.0006573383,0.00008777976,0.315918,0.00001970242,0.000007650038,0.000006812535,0.00006282275,0.00008261354,0.02104321,0.0002039029,0.6616889,0.0002212427],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9721206,0.002331293,0.0000544027,0.008398484,0.0001240205,0.0007014978,0.00009170648,0.00003439436,0.01614356],"genre_scores_gemma":[0.9936868,0.0005465376,0.002919371,0.0008060092,0.00005136585,0.0001540398,0.0009913871,0.00002154819,0.0008229264],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8479797,"threshold_uncertainty_score":0.4520769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01115874430953267,"score_gpt":0.3205859678835538,"score_spread":0.3094272235740211,"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."}}