{"id":"W4296879706","doi":"10.1039/d2tc03159k","title":"Design of room-temperature infrared photothermoelectric detectors based on CNT/PEDOT:PSS composites","year":2022,"lang":"en","type":"article","venue":"Journal of Materials Chemistry C","topic":"Advanced Thermoelectric Materials and Devices","field":"Materials Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Huawei Technologies; CMC Microsystems","keywords":"Materials science; PEDOT:PSS; Composite material; Infrared; Detector; Infrared heater; Polymer; Optics","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001247951,0.0003134609,0.0007705486,0.000130273,0.0002166441,0.0001129062,0.0007163183,0.0001154215,0.008783564],"category_scores_gemma":[0.0001354472,0.0002626177,0.0001238625,0.0003318715,0.00005462845,0.0001489445,0.00008939792,0.0002295986,0.000007735271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001625334,"about_ca_system_score_gemma":0.0002628143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007009534,"about_ca_topic_score_gemma":6.049862e-8,"domain_scores_codex":[0.9971208,0.0004152873,0.001048445,0.0002796699,0.0007581785,0.0003776142],"domain_scores_gemma":[0.9974406,0.0002787257,0.001597025,0.0003562242,0.0002063745,0.0001210842],"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":[0.00199341,0.0002155759,0.000008421636,0.000175667,0.00002385248,0.00005731089,0.00006979661,0.01659742,0.9804743,0.000003997634,0.0003303196,0.00004994973],"study_design_scores_gemma":[0.00110667,0.0006863303,0.00003368946,0.00007671057,0.00004443586,0.0001266056,0.00004117471,0.0001837196,0.9968293,0.0002628068,0.0003436991,0.0002648536],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978283,0.000292191,0.0006094783,0.00004087797,0.0006557695,0.0002111058,0.0001274007,0.00003799268,0.0001968726],"genre_scores_gemma":[0.9974324,0.00002357077,0.001892133,0.0001588202,0.0002745879,0.00002598659,0.00001164745,0.00004851283,0.0001323648],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01641371,"threshold_uncertainty_score":0.9999826,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007728499221355406,"score_gpt":0.2157312235694768,"score_spread":0.2080027243481214,"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."}}