{"id":"W2534410736","doi":"10.1002/pat.3908","title":"Polymer ferroelectret based on polypropylene foam: piezoelectric properties prediction using dynamic mechanical analysis","year":2016,"lang":"en","type":"article","venue":"Polymers for Advanced Technologies","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Polytechnique Montréal; AS Composite (Canada)","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Composite material; Blowing agent; Polypropylene; Extrusion; Piezoelectricity; Dynamic mechanical analysis; Scanning electron microscope; Piezoelectric coefficient; Polymer; Polyurethane","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":[0.0002058929,0.0002788098,0.0001776308,0.0002626988,0.00006525373,0.0001593424,0.0001401094,0.0003662003,0.0004655325],"category_scores_gemma":[0.0003691757,0.0001700486,0.0001890278,0.0001952987,0.0001448385,0.0002613163,0.0001021197,0.0001780386,0.0001544105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001180621,"about_ca_system_score_gemma":0.00008601107,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004471924,"about_ca_topic_score_gemma":0.0009477306,"domain_scores_codex":[0.9999142,0.00000779023,0.0000054561,0.00002167169,0.00004042881,0.00001043141],"domain_scores_gemma":[0.9998622,0.00005984095,0.00004061293,0.000009189974,0.00001982626,0.00000836286],"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":[0.0000286191,0.000007609146,0.0003596019,0.00003059277,0.000002303798,0.0000429465,0.000009862153,0.001053135,0.9951651,0.00001785633,0.00001017354,0.003272251],"study_design_scores_gemma":[0.000005101822,0.0001323735,0.004302962,0.000005191409,0.000009054781,0.0001173172,0.00000913387,0.02184591,0.9730753,0.000029754,0.0004587791,0.00000917401],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9760994,0.0004172157,0.02279084,0.00002630048,0.000006735071,0.00001378565,0.0001088651,0.00009840316,0.0004384315],"genre_scores_gemma":[0.9822792,0.0003857882,0.01660408,0.000008395474,0.000003114925,0.0000175502,0.0001264636,0.00001370878,0.0005617078],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004655325,"threshold_uncertainty_score":0.00155741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01499078103419631,"score_gpt":0.2275323402087665,"score_spread":0.2125415591745702,"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."}}