{"id":"W2258393795","doi":"10.1039/c5cp07999c","title":"Adsorption of PTCDA and C<sub>60</sub> on KBr(001): electrostatic interaction versus electronic hybridization","year":2016,"lang":"en","type":"article","venue":"Physical Chemistry Chemical Physics","topic":"Graphene research and applications","field":"Materials Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vancouver Biotech (Canada); McGill University; University of British Columbia","funders":"Ministry of Science and Technology; National Natural Science Foundation of China","keywords":"Molecule; Adsorption; Charge density; Chemistry; Electrostatics; Electron density; Electrostatic interaction; Insulator (electricity); Electron; Analytical Chemistry (journal); Chemical physics; Materials science; Physical chemistry; Physics; Optoelectronics; Organic chemistry","routes":{"ca_aff":true,"ca_fund":false,"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":[0.00005269719,0.000248547,0.0002423206,0.0001612383,0.0001759255,0.0002313202,0.0003088285,0.000264556,0.001100506],"category_scores_gemma":[0.0001498683,0.0001213488,0.000115856,0.0001618244,0.0002216616,0.0002083498,0.000178063,0.0002070675,0.0002147951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002309784,"about_ca_system_score_gemma":0.00006205907,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008627746,"about_ca_topic_score_gemma":0.000977553,"domain_scores_codex":[0.9998914,0.000007660654,0.000003429293,0.00002434133,0.00003941846,0.00003372955],"domain_scores_gemma":[0.9999117,0.00002808023,0.00002682247,0.000008175563,0.00001357121,0.00001168127],"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":[0.00004156026,0.00001200264,0.0004233573,0.00008382843,0.000007717508,0.00005525329,0.00003321832,0.0002465535,0.9977552,0.00008375739,0.00003147562,0.001226118],"study_design_scores_gemma":[0.000005370801,0.0001830608,0.007696222,0.000006051434,0.00001610996,0.0001412605,0.0001002016,0.00338963,0.9878857,0.00003432512,0.0005331439,0.000008808009],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987391,0.0003036539,0.0002842988,0.00001513837,0.000003727819,0.000003581431,0.00003894087,0.00001517887,0.000596515],"genre_scores_gemma":[0.9989574,0.0002132418,0.0004898498,0.000009264311,0.000002602678,0.000003884968,0.00005246333,0.000006316645,0.0002649212],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001100506,"threshold_uncertainty_score":0.0036816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01215507185901241,"score_gpt":0.2695479629443768,"score_spread":0.2573928910853643,"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."}}