{"id":"W2597570820","doi":"10.1039/c7ce00263g","title":"Selective binding in different adsorption sites of a 2D covalent organic framework","year":2017,"lang":"en","type":"article","venue":"CrystEngComm","topic":"Surface Chemistry and Catalysis","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Queensland University of Technology","keywords":"Covalent bond; Monolayer; Covalent organic framework; Adsorption; Chemistry; Fullerene; Covalent binding; Combinatorial chemistry; Nanotechnology; Organic chemistry; Materials science; Biochemistry","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":[0.00007538489,0.0003248729,0.0001656435,0.0001565234,0.000208582,0.0002838544,0.0004870185,0.0003410722,0.002192078],"category_scores_gemma":[0.000130447,0.000186549,0.0001824882,0.0001250231,0.0001764521,0.0001940251,0.0002968993,0.0002158518,0.0003388005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003358086,"about_ca_system_score_gemma":0.0001362013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001979301,"about_ca_topic_score_gemma":0.003835029,"domain_scores_codex":[0.999849,0.000009092859,0.000004201574,0.00003925211,0.00003178263,0.00006666459],"domain_scores_gemma":[0.9999564,0.000009812434,0.000009920036,0.000007844462,0.000005653215,0.00001051717],"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":[0.00006498682,0.00001295516,0.0001717358,0.00004295014,0.000007504376,0.00003133968,0.00001639652,0.0002727933,0.9975091,0.0002344626,0.0001479456,0.001487769],"study_design_scores_gemma":[0.000008691696,0.0001032659,0.001048783,0.000002597945,0.00001005568,0.00004600591,0.0000187849,0.001806122,0.9955701,0.00003118904,0.001345499,0.000008910263],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923707,0.0005904164,0.003134309,0.00007917023,0.00003101069,0.00001420827,0.0002148864,0.0001439661,0.003421299],"genre_scores_gemma":[0.9954439,0.0002450035,0.002161256,0.00005249118,0.000009232864,0.00001683197,0.0001577631,0.00001411487,0.001899392],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002192078,"threshold_uncertainty_score":0.007333219,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01518242958838083,"score_gpt":0.2352303180681723,"score_spread":0.2200478884797914,"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."}}