{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000832649,0.0002097239,0.0001382681,0.00007840079,0.0001054054,0.0002366199,0.0002013742,0.0002083681,0.001413341],"category_scores_gemma":[0.0001558671,0.00005495626,0.00008648216,0.0001328429,0.00009905993,0.0002451099,0.0001059848,0.0002392711,0.000188972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003079409,"about_ca_system_score_gemma":0.0001589421,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000865472,"about_ca_topic_score_gemma":0.001488563,"domain_scores_codex":[0.9999444,0.000004039594,0.000002599564,0.00001239805,0.00002401888,0.00001250248],"domain_scores_gemma":[0.9999377,0.00001537437,0.00001416315,0.000006364987,0.00001499615,0.00001141121],"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":[0.0000329269,0.00001418961,0.0001585302,0.00004558387,0.0000033558,0.00004063185,0.000006153135,0.0002339669,0.9961278,0.0001719789,0.00009829228,0.00306667],"study_design_scores_gemma":[0.000004012543,0.00003457615,0.0005752894,0.000001580312,0.000003845049,0.00003308695,0.000004784748,0.001683576,0.9965985,0.00002112862,0.001037533,0.000002106023],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9876869,0.002134367,0.005679903,0.0001896345,0.00005885217,0.00002519712,0.0002279039,0.00009622552,0.003901006],"genre_scores_gemma":[0.992848,0.0006522287,0.004744185,0.0000389669,0.00000761262,0.00001441317,0.0001377035,0.00001335873,0.001543482],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001413341,"threshold_uncertainty_score":0.004728138,"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."}}