{"id":"W2784342977","doi":"10.1021/acs.jpcc.7b10900","title":"Layer-by-Layer Assemblies of Coordinative Surface-Confined Electroactive Multilayers: Zigzag vs Orthogonal Molecular Wires with Linear vs Molecular Sponge Type of Growth","year":2018,"lang":"en","type":"article","venue":"The Journal of Physical Chemistry C","topic":"Conducting polymers and applications","field":"Materials Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada; University of Ontario Institute of Technology","keywords":"Zigzag; Terpyridine; Ligand (biochemistry); Deposition (geology); Bent molecular geometry; Layer (electronics); Nanotechnology; Materials science; Layer by layer; Ion; Crystallography; Chemistry; Metal; Organic chemistry; Composite material; Geometry","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":[0.00008015096,0.0003968728,0.0001602693,0.0002191706,0.00007828761,0.0003103841,0.0002865854,0.0002376811,0.0006247126],"category_scores_gemma":[0.0001583402,0.0003486003,0.0002010594,0.0001542882,0.0001059765,0.0003399782,0.0002492349,0.0002961124,0.0003671822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002113176,"about_ca_system_score_gemma":0.00008584792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002709833,"about_ca_topic_score_gemma":0.0006789853,"domain_scores_codex":[0.9999224,0.000008583294,0.00001015105,0.00002082732,0.00001592461,0.00002213613],"domain_scores_gemma":[0.9998829,0.00001185517,0.00005230701,0.00001770491,0.00001564436,0.00001953322],"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":[0.00002183768,0.000006361178,0.00007468254,0.00002746204,0.00000526414,0.00002470002,0.000009095636,0.0001379836,0.9985409,0.00009113588,0.00003292429,0.001027844],"study_design_scores_gemma":[0.000005580388,0.0000885435,0.0006570516,0.000003782645,0.00001513067,0.00006696246,0.000009023206,0.003359689,0.9944625,0.00003530549,0.001290335,0.000005999938],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9841971,0.0007833486,0.01231655,0.00006690576,0.00004281037,0.00002990818,0.0002487326,0.0005272055,0.001787503],"genre_scores_gemma":[0.9823365,0.0005386638,0.01475671,0.00003591282,0.00001080619,0.00004120194,0.0002723255,0.00005069729,0.001957229],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006247126,"threshold_uncertainty_score":0.002089858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01666372425723716,"score_gpt":0.2839012192133702,"score_spread":0.2672374949561331,"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."}}