{"id":"W4281864705","doi":"10.1002/mren.202200012","title":"Indium Oxide Doped Polyaniline for Detection of Formaldehyde","year":2022,"lang":"en","type":"article","venue":"Macromolecular Reaction Engineering","topic":"Advanced Chemical Sensor Technologies","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Government of Canada","keywords":"Polyaniline; Formaldehyde; Aniline; Selectivity; Indium; Chemistry; Conductive polymer; Oxide; Polyaniline nanofibers; Polymer chemistry; Benzene; Polymer; Materials science; Organic chemistry; Polymerization; Catalysis","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000143289,0.0003517275,0.000169546,0.0002155403,0.0001008424,0.0001661111,0.0002616826,0.0003466911,0.0004431046],"category_scores_gemma":[0.0001797025,0.0001485464,0.000105986,0.0001397181,0.0001132579,0.0001861104,0.0001075928,0.0002100845,0.0001235262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002100397,"about_ca_system_score_gemma":0.0001026623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005260159,"about_ca_topic_score_gemma":0.001248912,"domain_scores_codex":[0.9998509,0.00002756886,0.000007236446,0.00004337133,0.00005365552,0.0000172256],"domain_scores_gemma":[0.9999005,0.00002812961,0.00002978785,0.000006300061,0.00002410569,0.0000111657],"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":[0.00001727558,0.000004899814,0.00003517156,0.00002229996,0.000001260882,0.00001042954,0.000003551738,0.00005058334,0.9992024,0.000007670898,0.000006203037,0.0006382091],"study_design_scores_gemma":[0.000001386742,0.00007148209,0.0004948422,0.000002039,0.000004133724,0.00003484567,0.000002901457,0.001069432,0.9979926,0.000003915572,0.0003195385,0.000002721825],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9761937,0.003151747,0.01771772,0.00007089804,0.00006289341,0.00003340652,0.0001163868,0.0001983438,0.002454987],"genre_scores_gemma":[0.982384,0.001105228,0.01450323,0.0000285404,0.000007931121,0.0000258597,0.00008276817,0.0000100594,0.001852427],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005260159,"threshold_uncertainty_score":0.001524031,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004357001999783726,"score_gpt":0.1846418887159865,"score_spread":0.1802848867162028,"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."}}