{"id":"W2133819640","doi":"10.1039/b209779f","title":"Investigation of the competitive rate of derivatization of several secondary amines with phenylisocyanate (PHI), hexamethylene-1,6-diisocyanate (HDI), 4,4′-methylenebis(phenyl isocyanate) (MDI) and toluene diisocyanate (TDI) in liquid medium","year":2003,"lang":"en","type":"article","venue":"The Analyst","topic":"Occupational exposure and asthma","field":"Medicine","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut de Recherche Robert-Sauvé en Santé et en Sécurité du Travail; Université du Québec à Montréal","funders":"","keywords":"Isocyanate; Phenylisocyanate; Chemistry; Derivatization; Reactivity (psychology); Hexamethylene diisocyanate; Acetonitrile; Solvent; Toluene; Toluene diisocyanate; Piperazine; Organic chemistry; Polymer chemistry; Polyurethane; High-performance liquid chromatography","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":[0.001156658,0.0003421583,0.0008840631,0.0003410193,0.000118767,0.00001305262,0.0002657048,0.0001473577,0.0000830152],"category_scores_gemma":[0.0002594619,0.0002107319,0.0001761832,0.001466312,0.0008846252,0.000229813,0.0000937705,0.0003347563,0.000001206292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007599785,"about_ca_system_score_gemma":0.0003302542,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00105943,"about_ca_topic_score_gemma":0.001160029,"domain_scores_codex":[0.9969901,0.0007063188,0.00106037,0.0003922143,0.000544697,0.0003063407],"domain_scores_gemma":[0.9973368,0.0004119475,0.0009708005,0.000578528,0.000594144,0.0001077459],"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":[0.003146291,0.0004756537,0.4052225,0.001494285,0.002063248,0.00002873509,0.009959855,0.00449766,0.53965,0.0318337,0.0002203293,0.001407697],"study_design_scores_gemma":[0.003203251,0.0007198353,0.4578725,0.0005576722,0.0005102144,0.00002537049,0.002157843,0.001062043,0.5315074,0.001811041,0.000272484,0.0003003064],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949409,0.000876814,0.0007969528,0.001592358,0.00007234985,0.0005971955,0.00005661497,0.00001605446,0.001050749],"genre_scores_gemma":[0.998067,0.0002814684,0.0008039896,0.0005017477,0.00004270338,0.00001996037,0.00007044768,0.00003930078,0.0001734265],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05264995,"threshold_uncertainty_score":0.85934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01033711423662843,"score_gpt":0.22478759706423,"score_spread":0.2144504828276016,"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."}}