{"id":"W2038289525","doi":"10.1111/j.1748-720x.2011.00546.x","title":"Toxic Legacy: Mustard Gas in the Sea around Us","year":2011,"lang":"en","type":"article","venue":"The Journal of Law Medicine & Ethics","topic":"Pesticide Exposure and Toxicity","field":"Agricultural and Biological Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"U.S. Army","keywords":"Guard (computer science); Toxicology; Forensic engineering; Medicine; Engineering; Biology","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":[0.00641162,0.0001096808,0.0002184094,0.00001122114,0.0002119871,0.00001932752,0.0006676652,0.0001223282,0.0002259762],"category_scores_gemma":[0.0005967238,0.00002365784,0.00006501866,0.0002249954,0.0004175557,0.0001608573,0.00003608808,0.001387153,0.000008097779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001821845,"about_ca_system_score_gemma":0.00003001455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002717635,"about_ca_topic_score_gemma":0.006359326,"domain_scores_codex":[0.9979936,0.0007396927,0.0003987813,0.00007128913,0.0005839349,0.0002126647],"domain_scores_gemma":[0.9973943,0.002053164,0.0002482643,0.00008266277,0.0001457681,0.00007582102],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0031842,0.002355781,0.1014135,0.0001592726,0.000482815,0.002493744,0.2783402,0.0001111722,0.3208813,0.2088427,0.02714029,0.05459499],"study_design_scores_gemma":[0.002240286,0.01173042,0.5596982,0.0009563231,0.0006269767,0.00354148,0.03638596,0.00007513163,0.01209929,0.1965858,0.175346,0.0007141605],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9450014,0.0005385018,0.00001146126,0.0423539,0.0002290101,0.00007813986,0.000001312683,0.000006156195,0.01178015],"genre_scores_gemma":[0.9881278,0.0001864258,0.00002847454,0.01066124,0.0009659585,6.328472e-7,0.00000107067,7.738788e-7,0.00002763758],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4582846,"threshold_uncertainty_score":0.6026567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1608355409673518,"score_gpt":0.3146810867392079,"score_spread":0.1538455457718561,"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."}}