{"id":"W3046446233","doi":"10.1177/0021955x20945666","title":"Microcellular structure assisted phase transformation of polyvinylidene fluoride/titanium dioxide nanocomposites","year":2020,"lang":"en","type":"article","venue":"Journal of Cellular Plastics","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Canada; Government of Ontario","keywords":"Materials science; Polyvinylidene fluoride; Nanocomposite; Composite material; Titanium dioxide; Supercritical carbon dioxide; Dielectric; Phase (matter); Compounding; Composite number; Fluoride; Foaming agent; Chemical engineering; Supercritical fluid; Polymer; Porosity","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":[0.00007927573,0.0001867957,0.0004232354,0.00009453024,0.0000344025,0.0000277032,0.0001716187,0.0001021847,0.00006755182],"category_scores_gemma":[0.00009226651,0.000170814,0.000121381,0.0001622286,0.00003024954,0.0002418664,0.00001024581,0.0002010647,0.000003948956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000346862,"about_ca_system_score_gemma":0.00002448794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001130788,"about_ca_topic_score_gemma":5.747519e-7,"domain_scores_codex":[0.9986689,0.00002391134,0.0007971972,0.00007657613,0.0002560154,0.000177379],"domain_scores_gemma":[0.999233,0.00008497047,0.0002847262,0.00008367994,0.0001557313,0.0001578804],"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":[0.00009379671,0.00002235534,0.00001138544,0.0002301212,0.00007612193,0.00004979304,0.0002754504,0.1271935,0.8715435,0.00007092988,0.00009666287,0.0003363485],"study_design_scores_gemma":[0.0009479384,0.0002154641,0.0000296252,0.00008708506,0.0001125594,0.00009029189,0.00006650531,0.007914701,0.9879987,0.00005627986,0.002322922,0.0001578962],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6858994,0.000393302,0.3130225,0.00003040344,0.0004573575,0.00004094872,0.00005661724,0.00003712686,0.00006238351],"genre_scores_gemma":[0.9819022,0.00006489675,0.01760513,0.00002054485,0.0003380287,2.253918e-7,0.00002376779,0.00003769103,0.000007457217],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2960029,"threshold_uncertainty_score":0.6965593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01195145874579617,"score_gpt":0.2096916238994743,"score_spread":0.1977401651536781,"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."}}