{"id":"W1993163728","doi":"10.1021/la904594p","title":"Methylene Blue Incorporation into Alkanethiol SAMs on Au(111): Effect of Hydrocarbon Chain Ordering","year":2010,"lang":"en","type":"article","venue":"Langmuir","topic":"Molecular Junctions and Nanostructures","field":"Engineering","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"Acadia University","funders":"Secretaría de Ciencia y Técnica, Universidad de Buenos Aires; Agencia Nacional de Promoción Científica y Tecnológica; Natural Sciences and Engineering Research Council of Canada; Universidad de Buenos Aires; Consejo Nacional de Investigaciones Científicas y Técnicas","keywords":"Chemistry; Monolayer; Methylene blue; Self-assembled monolayer; Scanning tunneling microscope; Hydrocarbon; Molecule; Methylene; Infrared spectroscopy; Thiol; Electrochemistry; Crystallography; Stereochemistry; Photochemistry; Nanotechnology; Organic chemistry; Physical chemistry; Materials science; Catalysis; Photocatalysis","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":[0.000162292,0.0001349479,0.0001662339,0.0001112114,0.00004540896,0.00001009251,0.00008565422,0.0001297572,0.00002524868],"category_scores_gemma":[0.00003623449,0.0001130684,0.00005031676,0.000158534,0.00002205586,0.00003440735,0.00001755203,0.0002359931,0.00001278521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002306771,"about_ca_system_score_gemma":0.000007429671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001828826,"about_ca_topic_score_gemma":0.0003387569,"domain_scores_codex":[0.9994517,0.00003383525,0.0001409876,0.0001235705,0.0001195922,0.0001303298],"domain_scores_gemma":[0.9996563,0.00004896403,0.00003505459,0.0002088377,0.00001336162,0.00003754172],"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":[0.00002579558,0.00000692723,0.0004446266,0.0001119783,0.00003335399,0.000004635193,0.0003059255,0.004529654,0.9728667,0.0006632625,0.0001147665,0.02089237],"study_design_scores_gemma":[0.0003649421,0.0002222546,0.003130045,0.00002314077,0.00002306487,0.000005829429,0.000008618211,0.01016442,0.9817544,0.0002659412,0.003865115,0.0001722853],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956014,0.00006939914,0.001646953,0.00002680752,0.0006026303,0.0001398152,0.000002717066,0.0001342805,0.00177606],"genre_scores_gemma":[0.9991297,0.000005173679,0.0005767387,0.00001937348,0.0001658771,0.00001761764,0.00002534446,0.00002889956,0.0000312494],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02072009,"threshold_uncertainty_score":0.4610794,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002706386999431775,"score_gpt":0.1990833959371518,"score_spread":0.19637700893772,"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."}}