{"id":"W4295872769","doi":"10.1007/s00396-022-05022-9","title":"Colloidal processing of ferroelectric poly(vinylidene fluoride-co-hexafluoropropylene)—ferrimagnetic pseudocapacitive CuFe2O4 composite films","year":2022,"lang":"en","type":"article","venue":"Colloid & Polymer Science","topic":"Supercapacitor Materials and Fabrication","field":"Materials Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Dispersant; Hexafluoropropylene; Composite number; Chemical engineering; Ferroelectricity; Microstructure; Polymer; Composite material; Dielectric; Copolymer; Dispersion (optics)","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":[0.0001153897,0.0001652166,0.00012706,0.000211546,0.0003020269,0.0003483415,0.0001629187,0.0002693253,0.001227779],"category_scores_gemma":[0.0002015613,0.0002052506,0.0001065266,0.0001360793,0.0001196186,0.0001840459,0.00009349307,0.0003278661,0.0002210241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000359176,"about_ca_system_score_gemma":0.0002295356,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001564827,"about_ca_topic_score_gemma":0.003967104,"domain_scores_codex":[0.9999086,0.000004947147,0.000005254702,0.00002527759,0.00003281396,0.00002316165],"domain_scores_gemma":[0.9998987,0.00002008834,0.00001527649,0.00000862943,0.00004220649,0.00001516045],"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":[0.00001819609,0.000005719354,0.00002333522,0.00001306603,0.00000113535,0.00001657401,0.000007742967,0.00003539291,0.9993238,0.00003423846,0.00002809227,0.0004925755],"study_design_scores_gemma":[0.000006080149,0.00002843268,0.0007094609,0.000001357105,0.000002535309,0.00002192559,0.000007802131,0.0005971566,0.9982864,0.000009312645,0.0003275984,0.000001984557],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994457,0.0004241773,0.002500698,0.0000638573,0.00005537985,0.00001984711,0.00008945013,0.00006055651,0.002329061],"genre_scores_gemma":[0.9932766,0.0001449648,0.003830047,0.00002055211,0.00001093106,0.00002070228,0.00009845227,0.00002294908,0.002574815],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001564827,"threshold_uncertainty_score":0.004107296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01201889447641619,"score_gpt":0.2468278678025795,"score_spread":0.2348089733261634,"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."}}