{"id":"W4409717891","doi":"10.1021/acs.est.4c11276","title":"Unintended Consequences of Aquatic Enrichment in Experimental Biology","year":2025,"lang":"en","type":"review","venue":"Environmental Science & Technology","topic":"Animal testing and alternatives","field":"Veterinary","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; University of New Brunswick; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Australian Government","keywords":"Unintended consequences; Environmental chemistry; Biology; Environmental science; Biochemical engineering; Chemistry; Engineering; Political science","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":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0003324841,0.000329603,0.0009829077,0.001404686,0.0001004682,0.00000925421,0.001190798,0.0002511588,0.0001372396],"category_scores_gemma":[0.0001380697,0.0002703533,0.0001219984,0.001227316,0.01029433,0.00007834224,0.00080091,0.0003668684,0.00006804145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005579987,"about_ca_system_score_gemma":0.0001967178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005867314,"about_ca_topic_score_gemma":0.000001391946,"domain_scores_codex":[0.9978652,0.0001113952,0.000621309,0.000760675,0.0001932219,0.0004482078],"domain_scores_gemma":[0.999042,0.0001292044,0.0003811467,0.0004003982,0.000002996135,0.00004425833],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002501085,0.0007559486,0.001218496,0.001060327,0.00006035882,0.0001825517,0.0002760003,7.384353e-7,0.08118527,0.01522916,0.000009916418,0.8999962],"study_design_scores_gemma":[0.002938419,0.02246806,0.0004630091,0.05495296,0.0007215667,0.002712951,0.01755005,0.0001864044,0.09711975,0.02914471,0.7661152,0.005626852],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01447394,0.9825832,0.0000151576,0.00004118805,0.0001643868,0.0004952617,0.00002736242,0.00007822976,0.002121284],"genre_scores_gemma":[0.4823112,0.516986,0.0004589742,0.000007881054,0.000006872177,0.00009586001,0.000007784468,0.000008328984,0.0001170187],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8943694,"threshold_uncertainty_score":0.9999748,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1065167282331662,"score_gpt":0.4190541900684835,"score_spread":0.3125374618353173,"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."}}