{"id":"W1970292102","doi":"10.1021/la900443c","title":"Monitoring and Mapping Imperfections in Silane-Based Self-Assembled Monolayers by Chemical Amplification","year":2009,"lang":"en","type":"article","venue":"Langmuir","topic":"Molecular Junctions and Nanostructures","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"British Columbia Knowledge Development Fund","keywords":"Monolayer; Silane; Biomolecule; Nanotechnology; Self-assembled monolayer; Molecule; Nanometre; Silicon; Nanoscopic scale; Materials science; Chemistry; Microscopy; Self-assembly; Chemical engineering; Organic chemistry; Optics; Composite material","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":[0.0004342888,0.0003199519,0.0002505522,0.0004861729,0.0001867347,0.0004004696,0.0007141001,0.0004112122,0.0004294143],"category_scores_gemma":[0.001179341,0.0003623475,0.0001349848,0.0002613034,0.0005089937,0.000614577,0.000411094,0.0006229022,0.0001770817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002845621,"about_ca_system_score_gemma":0.0001420161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003668003,"about_ca_topic_score_gemma":0.0006071597,"domain_scores_codex":[0.9994905,0.00005933236,0.0000252569,0.00007043078,0.0003131097,0.00004131659],"domain_scores_gemma":[0.9991615,0.0003328182,0.000256614,0.0001009326,0.00011842,0.00002984092],"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":[0.0000172395,0.000006763811,0.0001879316,0.00002841561,0.000004073042,0.00002511436,0.00005649665,0.000340876,0.9968797,0.0002190974,0.00001234386,0.002221956],"study_design_scores_gemma":[0.000002958893,0.00005063392,0.0005617349,0.000002404382,0.000006148951,0.00006179322,0.00002168532,0.005924812,0.9926926,0.0000906666,0.000578657,0.000005854297],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.933211,0.001316092,0.06355908,0.0001185461,0.00003667445,0.00007773161,0.0000865324,0.0003648784,0.001229267],"genre_scores_gemma":[0.8976051,0.001628446,0.09848804,0.00006801088,0.00002056217,0.0001000774,0.0001525401,0.00006608917,0.001871116],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007141001,"threshold_uncertainty_score":0.002296805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00452818512736739,"score_gpt":0.1976097046543354,"score_spread":0.193081519526968,"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."}}