{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001051179,0.000629532,0.0003799637,0.0001733579,0.000190597,0.0004415921,0.0006781446,0.0005145163,0.001307798],"category_scores_gemma":[0.001799363,0.0003231572,0.0003368398,0.0002161645,0.0002849686,0.0004165423,0.0002651352,0.0005510069,0.0007235846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003583292,"about_ca_system_score_gemma":0.0003487021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001689869,"about_ca_topic_score_gemma":0.002530691,"domain_scores_codex":[0.9991129,0.000224107,0.00004359999,0.0002510933,0.0002197033,0.0001485058],"domain_scores_gemma":[0.9984968,0.0006572021,0.0002830057,0.000154834,0.000303783,0.0001043488],"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":[0.0003338476,0.00005671945,0.0007322816,0.0000832774,0.00003050456,0.0000403795,0.0000854411,0.0001348278,0.9937996,0.00005545598,0.00003809025,0.004609582],"study_design_scores_gemma":[0.000003509655,0.0004189745,0.0009855155,0.000002722289,0.00001819807,0.00005734274,0.0000196516,0.0006626304,0.9973875,0.000005421064,0.0004331532,0.00000541287],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.98873,0.001567216,0.007326663,0.00006497792,0.00004887067,0.00007668402,0.0001399686,0.00009707385,0.00194841],"genre_scores_gemma":[0.9839993,0.001545904,0.007592329,0.0000578812,0.00003344215,0.00008608709,0.0003312424,0.00007497044,0.006278806],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001689869,"threshold_uncertainty_score":0.005559206,"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."}}