{"id":"W4311869193","doi":"10.1002/adsr.202200030","title":"Molecular Engineering of Silicon Phthalocyanine to Improve the Charge Transport and Ammonia Sensing Properties of Organic Heterojunction Gas Sensors","year":2022,"lang":"en","type":"article","venue":"Advanced Sensor Research","topic":"Gas Sensing Nanomaterials and Sensors","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"European Regional Development Fund; Natural Sciences and Engineering Research Council of Canada; Agence Nationale de la Recherche; Université de Bourgogne; European Commission","keywords":"Heterojunction; Materials science; Phthalocyanine; Dielectric spectroscopy; Bilayer; Silicon; Optoelectronics; Analytical Chemistry (journal); Nanotechnology; Chemistry; Electrode; Organic chemistry; Physical chemistry; Electrochemistry","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":[0.0001068351,0.0004095977,0.0001544125,0.0001224767,0.00008261895,0.0002553276,0.0002785327,0.0003106203,0.0004352574],"category_scores_gemma":[0.0001426301,0.0001718078,0.0001597333,0.0001248325,0.0001377954,0.0001991573,0.0001417494,0.0002323417,0.0001229995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002401668,"about_ca_system_score_gemma":0.0001243044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002861889,"about_ca_topic_score_gemma":0.0006082011,"domain_scores_codex":[0.999925,0.000008669846,0.000004510418,0.00001516794,0.00002727166,0.00001934719],"domain_scores_gemma":[0.9999255,0.00001523587,0.00002208673,0.000009222224,0.00001387133,0.00001416906],"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":[0.000006805669,0.000005858159,0.00003832695,0.00001190792,0.000002397087,0.00001678214,0.000003155659,0.00009790518,0.9995043,0.0000297541,0.000006534944,0.000276231],"study_design_scores_gemma":[0.000008549666,0.0000889948,0.001701271,0.000001895534,0.000008464061,0.00006083538,0.000006990583,0.002240956,0.9954465,0.00001304489,0.0004193692,0.000003249516],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976376,0.0002086776,0.001539983,0.00003327344,0.00001123118,0.00001846713,0.00004981529,0.00004993972,0.0004509502],"genre_scores_gemma":[0.9964297,0.0001667735,0.002777701,0.00001865965,0.00000398766,0.00001412187,0.00005814772,0.00001064244,0.0005200948],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004352574,"threshold_uncertainty_score":0.001742482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01714988606450496,"score_gpt":0.2358737089888144,"score_spread":0.2187238229243094,"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."}}