{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009316601,0.0001768942,0.00009441245,0.0001122301,0.0001263938,0.0001464919,0.0001340833,0.0001819572,0.002080144],"category_scores_gemma":[0.0002552881,0.00009901403,0.00007534069,0.00008641077,0.0001270639,0.0001813346,0.0001055664,0.0002991596,0.0003756294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002116644,"about_ca_system_score_gemma":0.0001059588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004328957,"about_ca_topic_score_gemma":0.001199477,"domain_scores_codex":[0.9999303,0.000006732996,0.000003674096,0.00001728452,0.0000228491,0.00001912948],"domain_scores_gemma":[0.9998572,0.00003834048,0.00004312912,0.00001509751,0.00001841288,0.00002781857],"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":[0.00005960634,0.00001115026,0.0001089522,0.00002683447,0.000003283308,0.00003799469,0.00001495991,0.00003721992,0.9977198,0.0002481822,0.0001057179,0.001626221],"study_design_scores_gemma":[0.000009027069,0.00009260253,0.001282467,0.000001998222,0.000004686323,0.0001174302,0.000005438563,0.0002266128,0.9959564,0.00002758413,0.002273677,0.000002153572],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99176,0.0006139601,0.002824092,0.00008842743,0.00002434581,0.00003247059,0.0002399701,0.0001826946,0.004234042],"genre_scores_gemma":[0.9933101,0.0003022082,0.002901362,0.00002596166,0.000009732149,0.00003247244,0.000211674,0.00002836954,0.003178196],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002080144,"threshold_uncertainty_score":0.006958783,"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."}}