{"id":"W2388483549","doi":"","title":"Testing method for carcinogenic dyestuffs in textiles","year":2007,"lang":"en","type":"article","venue":"Dyeing and Finishing","topic":"Dyeing and Modifying Textile Fibers","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Intertek (Canada)","funders":"","keywords":"Carcinogen; Computer science; Extraction (chemistry); Selection (genetic algorithm); Process engineering; Biochemical engineering; Engineering; Chemistry; Chromatography; Artificial intelligence; Organic chemistry","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":[0.001226906,0.0001634296,0.0002092244,0.0001725783,0.0001211735,0.00008604669,0.0001080459,0.0001098083,0.000001354377],"category_scores_gemma":[0.0003345454,0.0001798685,0.00004542975,0.0002146529,0.00002363255,0.0001252458,0.00003110039,0.0002300364,0.000002659131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005956806,"about_ca_system_score_gemma":0.00001166069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009878596,"about_ca_topic_score_gemma":0.00008349974,"domain_scores_codex":[0.9989084,0.00001571776,0.0002803958,0.000237026,0.00009193501,0.0004665437],"domain_scores_gemma":[0.99885,0.000869541,0.00003137058,0.0001389705,0.00002360962,0.00008652365],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003708095,0.00003763081,0.03415293,0.0007019236,0.00007181455,0.00007380785,0.0111583,0.03739752,0.04322051,0.002199624,0.0006776672,0.8702712],"study_design_scores_gemma":[0.002329444,0.0001773786,0.08719159,0.0009156491,0.00008208476,0.0001147398,0.002345555,0.8772408,0.007531779,0.004162933,0.01647037,0.001437698],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.788941,0.0007077192,0.204758,0.00003380906,0.0003817662,0.0001847436,0.00000738676,0.0004843,0.004501258],"genre_scores_gemma":[0.8987849,0.000009357277,0.1009082,0.00005067592,0.00012954,0.00001436691,0.000007194777,0.00004498728,0.00005079849],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8688335,"threshold_uncertainty_score":0.7334822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02802101776129652,"score_gpt":0.2740848861880142,"score_spread":0.2460638684267177,"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."}}