{"id":"W3211522885","doi":"10.1039/d1cc05022b","title":"Ferrocene metallopolymers of intrinsic microporosity (MPIMs)","year":2021,"lang":"en","type":"article","venue":"Chemical Communications","topic":"Covalent Organic Framework Applications","field":"Materials Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"Division of Chemistry; Natural Sciences and Engineering Research Council of Canada; American Chemical Society Petroleum Research Fund","keywords":"Valency; Ferrocene; Materials science; Metallocene; Solubility; Copolymer; Polymer; Porosity; Polymer chemistry; Chemical engineering; Chemistry; Organic chemistry; Composite material; Polymerization; Physical chemistry; Electrochemistry","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":[0.0001575473,0.000103548,0.0002075649,0.00003028138,0.0001358697,0.00002538921,0.001164286,0.00009217415,0.0007797648],"category_scores_gemma":[0.0003124572,0.0001131033,0.00008969933,0.0005039147,0.0004460984,0.00007492735,0.001002651,0.0002191865,0.0001904025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000069978,"about_ca_system_score_gemma":0.0001539389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000291117,"about_ca_topic_score_gemma":0.00001580744,"domain_scores_codex":[0.9989952,0.00007540359,0.0003512473,0.0002322259,0.000173636,0.0001722698],"domain_scores_gemma":[0.9967551,0.000278279,0.0001281795,0.002519856,0.0002324753,0.00008614957],"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":[0.000002823464,0.0002388621,0.0001061388,0.00001438978,0.00001046102,3.176211e-7,0.0001126737,4.530819e-7,0.9868032,0.01153354,0.0003969691,0.0007801333],"study_design_scores_gemma":[0.0001330907,0.000002849259,0.0003151629,0.00001763775,0.00004227383,0.00001111659,0.0001217128,0.00001911712,0.9913841,0.002169128,0.005674288,0.0001095305],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.984762,0.00294345,0.001520896,0.005735643,0.00007434747,0.0001367361,0.00006089025,0.0001204805,0.004645583],"genre_scores_gemma":[0.9646001,0.0002512822,0.03467889,0.0001716933,0.00001879689,0.00003070854,0.00009556001,0.00001491208,0.0001379993],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03315799,"threshold_uncertainty_score":0.8537878,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02712778449722434,"score_gpt":0.280018036778706,"score_spread":0.2528902522814817,"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."}}