{"id":"W4232922550","doi":"10.26434/chemrxiv-2021-hc38x","title":"Ferrocene Metallopolymers of Intrinsic Microporosity (MPIMs)","year":2021,"lang":"en","type":"preprint","venue":"ChemRxiv","topic":"Metal-Organic Frameworks: Synthesis and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada; American Chemical Society Petroleum Research Fund; National Science Foundation","keywords":"Valency; Ferrocene; Materials science; Metallocene; Solubility; Copolymer; Polymer; Porosity; Polymer chemistry; Chemical engineering; Polymer science; Nanotechnology; Organic chemistry; 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":[0.00006364771,0.0001757104,0.0001308118,0.00009959365,0.0001024152,0.0002375682,0.0001382609,0.0001752016,0.001221656],"category_scores_gemma":[0.0001743871,0.00008772222,0.00009085038,0.00007581932,0.0001263896,0.0002578795,0.0001177938,0.0002851238,0.0002796292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001479871,"about_ca_system_score_gemma":0.00007155167,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002642245,"about_ca_topic_score_gemma":0.00059191,"domain_scores_codex":[0.9999452,0.000004378728,0.000002655349,0.0000148713,0.00001533155,0.00001762796],"domain_scores_gemma":[0.9998796,0.00003664723,0.00003389696,0.00001657634,0.00001391996,0.00001934622],"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":[0.0000383431,0.000007610945,0.0001245972,0.00003158647,0.000003205188,0.00004360916,0.00001238215,0.00006404467,0.9975025,0.0002270641,0.00003878284,0.001906355],"study_design_scores_gemma":[0.000004208579,0.00007135588,0.001230088,0.000001535306,0.000005411689,0.000143849,0.000005246804,0.0002377716,0.9957803,0.00003618355,0.002481879,0.000002147659],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920908,0.000841508,0.003941474,0.00005405231,0.00001274819,0.00001953168,0.0001491772,0.0001133145,0.002777393],"genre_scores_gemma":[0.994911,0.000288659,0.002941652,0.00001394282,0.000005603457,0.0000137814,0.0001110171,0.00002055101,0.001693773],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001221656,"threshold_uncertainty_score":0.004086852,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02025743091976336,"score_gpt":0.2478434858308625,"score_spread":0.2275860549110992,"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."}}