{"id":"W2030039255","doi":"10.1002/elan.200704100","title":"Impedance Study of GaN and InGaN Semiconductor Anion Selective Electrodes","year":2008,"lang":"en","type":"article","venue":"Electroanalysis","topic":"Analytical Chemistry and Sensors","field":"Chemical Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Electrode; Dielectric spectroscopy; Semiconductor; Electrolyte; Potentiometric titration; Electrochemistry; Ion; Materials science; Analytical Chemistry (journal); Adsorption; Layer (electronics); Optoelectronics; Electrical impedance; Inorganic chemistry; Chemistry; Nanotechnology; Physical chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009953717,0.000191252,0.0004377908,0.00009942562,0.0001041154,0.000006882128,0.0001303116,0.00008014232,0.00004811808],"category_scores_gemma":[0.0001897504,0.0001784129,0.0001057141,0.0007660735,0.00006079099,0.0000826452,0.00002192064,0.0003036463,0.000002840866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006817255,"about_ca_system_score_gemma":0.00002455134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001244884,"about_ca_topic_score_gemma":0.00003190537,"domain_scores_codex":[0.998718,0.00004183612,0.000313427,0.0003599178,0.0002379558,0.0003288272],"domain_scores_gemma":[0.9993486,0.0001082686,0.0000984869,0.0002337306,0.0001059045,0.000104967],"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":[0.00004503328,0.0001919093,0.01392864,0.00001658883,0.0004785991,0.000007782029,0.0008383809,0.0004276751,0.9838616,0.00005444074,0.00004433622,0.0001050707],"study_design_scores_gemma":[0.0004179641,0.0002409986,0.002001897,0.000005517686,0.0002995257,0.00003081609,0.0003573525,0.01628017,0.9800444,0.00006349297,0.00002906368,0.0002287733],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983104,0.0002682687,0.0004931269,0.00002407432,0.000004665776,0.00007449415,0.000001566487,0.00006383438,0.0007596119],"genre_scores_gemma":[0.9989871,0.00007999333,0.00008321916,0.00001536688,0.00006384053,0.000006368667,0.000005762985,0.00002000443,0.0007383696],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01585249,"threshold_uncertainty_score":0.7275468,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01218505540295156,"score_gpt":0.2288652114461842,"score_spread":0.2166801560432326,"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."}}