{"id":"W3213123042","doi":"10.3389/fendo.2021.727777","title":"Applications of the SR4G Transgenic Zebrafish Line for Biomonitoring of Stress-Disrupting Compounds: A Proof-of-Concept Study","year":2021,"lang":"en","type":"article","venue":"Frontiers in Endocrinology","topic":"Animal testing and alternatives","field":"Veterinary","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; University of Ottawa","keywords":"Zebrafish; Biomonitoring; Biology; Transgene; Green fluorescent protein; In vivo; Internal medicine; Endocrinology; Gene; Biotechnology; Medicine; Biochemistry; Ecology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00008219246,0.0001107752,0.0003632327,0.00007686569,0.00005410531,0.000003487134,0.0003256949,0.00003741388,0.00000411072],"category_scores_gemma":[0.0001443101,0.00009653623,0.0001091876,0.000282405,0.000207938,0.00003805989,0.0001036394,0.0001403589,9.211331e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002385367,"about_ca_system_score_gemma":0.00005577855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008130197,"about_ca_topic_score_gemma":0.00003001262,"domain_scores_codex":[0.9988098,0.0001383629,0.0004760279,0.0002497206,0.0001005464,0.0002255122],"domain_scores_gemma":[0.9990596,0.0002362391,0.000262881,0.0002943438,0.0001298124,0.00001718444],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003206582,0.001975208,0.9153177,0.0003907679,0.0003872151,0.00002129583,0.007375994,0.00025385,0.02700478,0.0005986906,0.0001286924,0.04622522],"study_design_scores_gemma":[0.006498158,0.004616486,0.1023665,0.0006577832,0.0002890598,0.00008260783,0.06563751,0.001983148,0.8120176,0.00346469,0.001853973,0.0005325123],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.973644,0.001221217,0.02356521,0.00007849247,0.0004192813,0.0007163197,0.0001327055,0.00002084162,0.0002018927],"genre_scores_gemma":[0.9885746,0.000007277984,0.01109739,0.000005245514,0.00009627228,0.0001384784,0.000008106571,0.00001545088,0.00005718783],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8129511,"threshold_uncertainty_score":0.3936633,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09037812690970914,"score_gpt":0.386082186115113,"score_spread":0.2957040592054039,"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."}}