{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00008978617,0.0004131573,0.0005000652,0.0008484438,0.0001835601,0.00003231047,0.000299033,0.0002587106,0.00001896032],"category_scores_gemma":[0.0001922803,0.0002962649,0.0002186416,0.001067088,0.0001311316,0.0002735294,0.0000349361,0.0001337719,0.000004079067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003124374,"about_ca_system_score_gemma":0.00002555761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009389793,"about_ca_topic_score_gemma":0.00001189531,"domain_scores_codex":[0.9980711,0.00002428135,0.0004118929,0.0005154704,0.0002218112,0.0007554165],"domain_scores_gemma":[0.9991297,0.0001259383,0.0001039224,0.0005289692,0.00005092187,0.00006052812],"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":[0.0001687916,0.00002510493,0.0000355406,0.00003399912,0.0001858433,0.000001824772,0.000005224178,0.05294149,0.8137726,0.0003032301,0.000005138217,0.1325212],"study_design_scores_gemma":[0.0006194993,0.0002554255,0.00001972486,0.00007497376,0.0002034114,0.000003335133,0.0000428325,0.2176448,0.7800181,0.0006493206,0.0001140163,0.0003545807],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3721603,0.00160659,0.61896,0.0003522472,0.0003647321,0.0004253976,0.000153841,0.005885844,0.00009101543],"genre_scores_gemma":[0.990778,0.0001836708,0.00844488,0.00002499655,0.00002465904,0.0002115837,0.00002197305,0.0001008124,0.0002094583],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6186177,"threshold_uncertainty_score":0.9999489,"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."}}