{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002664748,0.0004440653,0.0002610163,0.001085915,0.0002717887,0.00032325,0.0003916824,0.0004652394,0.002229348],"category_scores_gemma":[0.0002220163,0.0002098691,0.0002866843,0.0006079485,0.000149849,0.0002794655,0.000334489,0.0003931882,0.0006704847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002857026,"about_ca_system_score_gemma":0.0002524121,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00236734,"about_ca_topic_score_gemma":0.005310785,"domain_scores_codex":[0.9998374,0.00001968402,0.00001517919,0.00004600801,0.00005871106,0.00002301005],"domain_scores_gemma":[0.9998149,0.00003817934,0.00004107601,0.00002288521,0.0000638301,0.00001908118],"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":[0.00002173281,0.000008495856,0.0002698244,0.00004220877,0.000003292447,0.00001894458,0.00002225005,0.00004688644,0.9963304,0.0000358864,0.00004296604,0.003157082],"study_design_scores_gemma":[0.00001357235,0.0001655798,0.06054853,0.0000241378,0.00003528849,0.0004322288,0.0000961336,0.007631454,0.9277477,0.00009422271,0.003185706,0.00002548093],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.890565,0.000913804,0.09859519,0.0001735542,0.00006439604,0.0002495722,0.003353501,0.001567192,0.004517638],"genre_scores_gemma":[0.6641165,0.001189924,0.3196414,0.0001610778,0.00001780816,0.0006679783,0.004641053,0.0003850578,0.009179239],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00236734,"threshold_uncertainty_score":0.007457972,"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."}}