{"id":"W2343176728","doi":"10.1021/acs.jpcc.5b04307","title":"Tuning the Electronic Properties of a Boron-Doped Si(111) Surface by Self-Assembling of Trimesic Acid","year":2015,"lang":"en","type":"article","venue":"The Journal of Physical Chemistry C","topic":"Surface and Thin Film Phenomena","field":"Physics and Astronomy","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal; Regroupement Québécois sur les Matériaux de Pointe","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Trimesic acid; Monolayer; Materials science; Adsorption; Hydrogen bond; Chemical physics; Substrate (aquarium); Surface energy; Doping; Silicon; Molecule; Nanotechnology; Crystallography; Computational chemistry; Physical chemistry; Chemistry; Organic chemistry; Optoelectronics","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":[0.0006379377,0.0001656347,0.0003755672,0.000007842271,0.00006672717,0.00001828924,0.0005291195,0.00002547302,0.00001645315],"category_scores_gemma":[0.00001772245,0.00008833549,0.0001855012,0.0001669749,0.00009889601,0.0001330511,0.00007653558,0.0004479181,0.000002776909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004859553,"about_ca_system_score_gemma":0.0003590279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004246227,"about_ca_topic_score_gemma":8.411658e-8,"domain_scores_codex":[0.9987929,0.00009966995,0.0003825635,0.00008674455,0.0003765329,0.0002615251],"domain_scores_gemma":[0.998702,0.0001152116,0.0005949186,0.0002634303,0.000242257,0.00008218787],"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":[0.0001674875,0.0002799729,0.0002014472,0.00003271918,0.000262331,1.724996e-7,0.002517861,0.0006966521,0.995142,0.0001373977,0.0004194968,0.0001424639],"study_design_scores_gemma":[0.0006841797,0.000160562,0.000009434774,0.00006353417,0.0001571168,0.000002601736,0.002969194,0.001085822,0.9930629,0.001353496,0.0003480047,0.0001032138],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962392,0.001219922,0.00009913991,0.0001824851,0.00002433638,0.00007408248,0.000005518896,0.000006618137,0.002148737],"genre_scores_gemma":[0.9994902,0.00001049241,0.00002369729,0.00001020199,0.0002789662,0.000001098138,0.000001641196,0.0000181745,0.0001655067],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003251062,"threshold_uncertainty_score":0.3602217,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01516311971696083,"score_gpt":0.2308889288366485,"score_spread":0.2157258091196877,"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."}}