{"id":"W3206867805","doi":"10.1088/1361-6528/ac2e78","title":"Zinc phthalocyanine conjugated cellulose nanocrystals for memory device applications","year":2021,"lang":"en","type":"article","venue":"Nanotechnology","topic":"Advanced Memory and Neural Computing","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; National Institute for Nanotechnology; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Canada First Research Excellence Fund; National Research Council Canada; Canada Foundation for Innovation; FPInnovations; University of Alberta; Alberta Innovates; Alberta Innovates - Technology Futures","keywords":"Materials science; Phthalocyanine; Conjugated system; Nanocrystal; Hysteresis; Zinc; Electrode; Covalent bond; Thin film; HOMO/LUMO; Optoelectronics; Molecular orbital; Nanotechnology; Polymer; Molecule; Organic chemistry; Physical chemistry; Composite material; Metallurgy; Condensed matter physics","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":[0.00006053649,0.0001518314,0.0002204474,0.00007583975,0.0001035659,0.000009823892,0.0001725169,0.0002371362,0.00004373147],"category_scores_gemma":[0.00006322829,0.0001713361,0.00005856949,0.0003813165,0.00005286325,0.00005919902,0.00006252129,0.0002148256,0.00004287458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004427452,"about_ca_system_score_gemma":0.00002385143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":6.214552e-7,"about_ca_topic_score_gemma":0.000005545533,"domain_scores_codex":[0.9991218,0.00001247131,0.0002309756,0.0002692855,0.00005467117,0.0003107955],"domain_scores_gemma":[0.9993567,0.0001332316,0.00003851901,0.0003331186,0.00009564159,0.0000427548],"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":[0.000005364554,0.00001867969,0.000003408556,0.00008804157,0.00002154296,0.00002340362,0.00001664682,0.002983634,0.9705824,0.003008963,0.0002242203,0.02302367],"study_design_scores_gemma":[0.0003808483,0.00002648365,0.000002201106,0.00001345394,0.00001579868,0.00009332376,0.00004723344,0.003307468,0.9036635,0.001933588,0.09034438,0.0001717145],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6534045,0.002842736,0.3385547,0.0004976988,0.0003808187,0.0006748283,0.00003378051,0.002302169,0.001308685],"genre_scores_gemma":[0.9895677,0.00005449917,0.009196565,0.0001467694,0.00008458572,0.0001899838,0.00004580671,0.00004417838,0.0006699079],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3361632,"threshold_uncertainty_score":0.6986885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01689556944554829,"score_gpt":0.2524612216750656,"score_spread":0.2355656522295173,"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."}}