{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00002948058,0.00007947082,0.00007572838,0.00007945089,0.00003552065,0.00002409211,0.000035766,0.00006552424,0.000003068742],"category_scores_gemma":[0.000003945417,0.00008271044,0.00001776386,0.0001628364,0.000002302239,0.00003830843,0.000003201171,0.00009852743,0.000002522266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004834901,"about_ca_system_score_gemma":0.000003547991,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001931819,"about_ca_topic_score_gemma":0.000001359519,"domain_scores_codex":[0.9996215,0.00000789652,0.00009222663,0.0001061128,0.00004882819,0.0001235135],"domain_scores_gemma":[0.9998562,0.00001126478,0.00001021338,0.00008304867,0.000007609696,0.00003167895],"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":[0.000002088821,0.00001129511,0.003407803,0.00001274453,0.000005867789,0.000001429542,0.0001057908,0.000480856,0.9927897,0.00002039141,0.0002763984,0.002885613],"study_design_scores_gemma":[0.0008040352,0.00002821625,0.1669813,0.00004390346,0.00001724219,0.0000116034,0.0001095272,0.02026579,0.8074364,0.0001470896,0.003813845,0.0003410564],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972005,0.0004106146,0.001623056,0.00006941833,0.00007045984,0.00007403694,0.000001456137,0.000224539,0.0003258615],"genre_scores_gemma":[0.9988436,0.00003192197,0.001031369,0.00001670383,0.00004407369,0.00001074588,0.000007182104,0.000009718031,0.000004720901],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1853533,"threshold_uncertainty_score":0.3372834,"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."}}