{"id":"W2962371415","doi":"10.1039/c9cc05051e","title":"Location matters: cooperativity of catalytic partners in porous organic polymers for enhanced CO<sub>2</sub> transformation","year":2019,"lang":"en","type":"article","venue":"Chemical Communications","topic":"Covalent Organic Framework Applications","field":"Materials Science","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"Petro-Canada","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Cooperativity; Catalysis; Polymer; Porosity; Transformation (genetics); Chemistry; Chemical engineering; Porous medium; Polymer chemistry; Materials science; Nanotechnology; Chemical physics; 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":[0.0002200001,0.0003934272,0.0002319972,0.0001258496,0.0003179744,0.0007782488,0.0006596149,0.0004558307,0.004050091],"category_scores_gemma":[0.0007409242,0.0002611032,0.0001008301,0.000134587,0.0005106255,0.001146325,0.0007621813,0.0004114065,0.0009073132],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002905739,"about_ca_system_score_gemma":0.0002144937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002977528,"about_ca_topic_score_gemma":0.0006708602,"domain_scores_codex":[0.9997991,0.00002442789,0.00000836127,0.00008025501,0.00003916299,0.00004869435],"domain_scores_gemma":[0.9996718,0.0001229655,0.0000924762,0.00004248632,0.0000311717,0.00003909748],"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":[0.0006436637,0.0001126647,0.001070067,0.0003097793,0.00002773935,0.0003500874,0.0002951765,0.002213751,0.9513139,0.02526175,0.001047204,0.01735412],"study_design_scores_gemma":[0.00004897844,0.0002568687,0.001315261,0.00001380185,0.00003224552,0.0003243496,0.0001719137,0.01062618,0.9784231,0.002854809,0.005906731,0.00002588017],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9623123,0.0009597472,0.01782155,0.0003128339,0.0001202076,0.00004231446,0.00008535033,0.0003527485,0.01799292],"genre_scores_gemma":[0.9976634,0.0001150541,0.0009895778,0.00003044117,0.000009158551,0.00001199579,0.00002061844,0.00002212567,0.001137646],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004050091,"threshold_uncertainty_score":0.01354897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01945105113040982,"score_gpt":0.2911812718327089,"score_spread":0.271730220702299,"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."}}