{"id":"W2323982510","doi":"10.2166/wst.2012.387","title":"Automated image analysis of Euglena gracilis Klebs (Euglenophyta) for measuring sublethal effects of three model contaminants","year":2012,"lang":"en","type":"article","venue":"Water Science & Technology","topic":"Marine Toxins and Detection Methods","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Euglena gracilis; Atrazine; Biology; Tributyltin; Copper; Chemistry; Ecology; Pesticide; Biochemistry","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":[0.001464649,0.0001604515,0.0004224253,0.0009632463,0.0001747284,0.00001258223,0.0006557243,0.000130777,0.00007076319],"category_scores_gemma":[0.0002124108,0.0001168042,0.0001241032,0.002622822,0.001497057,0.0004742258,0.0005115023,0.0001034786,0.00001219337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000104692,"about_ca_system_score_gemma":0.00001600753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001849417,"about_ca_topic_score_gemma":0.00009763327,"domain_scores_codex":[0.9981586,0.00003144849,0.000350982,0.000401003,0.00040005,0.0006579191],"domain_scores_gemma":[0.9990632,0.00005291172,0.0001573939,0.0005661023,0.00006434038,0.00009604214],"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":[0.00001410822,0.00009114797,0.05325172,0.00003372875,0.0000322847,6.858301e-7,0.00023922,0.001859906,0.9354397,0.0001232736,0.000007942234,0.008906254],"study_design_scores_gemma":[0.0002208242,0.0001172324,0.02789045,0.000005767452,0.0001335637,0.000002836084,0.00002154295,0.1774904,0.7931905,0.0007569352,0.00004597691,0.0001239684],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8696336,0.00002332382,0.129126,0.00005265075,0.0001291761,0.0002721705,0.000005662765,0.000181348,0.0005761109],"genre_scores_gemma":[0.9589713,0.000003801734,0.04086937,0.00001228926,0.000005756039,0.00005124443,0.000001181873,0.000009121419,0.00007598321],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1756305,"threshold_uncertainty_score":0.5515969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01727126128749387,"score_gpt":0.2688524276053686,"score_spread":0.2515811663178747,"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."}}