{"id":"W4247816743","doi":"10.2139/ssrn.3986109","title":"Ultra-Elastic and Super-Insulating Biomass PEBA Nanoporous Foams Achieved by Combining In-Situ Fibrillation with Microcellular Foaming","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Polymer Foaming and Composites","field":"Materials Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Materials science; Nanoporous; In situ; Composite material; Fibrillation; Biomass (ecology); Nanotechnology; Chemistry; Medicine; Ecology; Atrial fibrillation","routes":{"ca_aff":true,"ca_fund":false,"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":[0.000729222,0.0002115093,0.0002724166,0.00009306719,0.0003784488,0.0002333366,0.0001430508,0.00007719061,0.000008407706],"category_scores_gemma":[0.00004714171,0.0001910926,0.00004242808,0.0002586423,0.00006519628,0.0002796542,0.00003884406,0.0005751221,0.000006251892],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000316095,"about_ca_system_score_gemma":0.0006760906,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001105073,"about_ca_topic_score_gemma":0.0004094956,"domain_scores_codex":[0.9973843,0.0001517545,0.0003525158,0.0003479494,0.0002673402,0.00149615],"domain_scores_gemma":[0.9993972,0.0001338866,0.0001738871,0.0001384168,0.00006573434,0.0000908798],"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":[0.00004385928,0.00002864436,0.0104097,0.00001558361,0.00002882263,0.00002645963,0.0004231087,0.00002600697,0.9842836,0.0006600532,0.000002089714,0.004052105],"study_design_scores_gemma":[0.001426179,0.0003977459,0.001340377,0.0002051693,0.00005063496,0.003276885,0.002030258,0.0004412037,0.987419,0.002983231,0.00006639534,0.0003629297],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9758855,0.01965614,0.003854624,0.0001665379,0.0001101242,0.00005666201,0.000002544947,0.00004197164,0.000225886],"genre_scores_gemma":[0.998946,0.0003051888,0.0004057657,0.00002621698,0.00008012573,0.000001851439,0.00001419495,0.00003117138,0.0001894993],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02306047,"threshold_uncertainty_score":0.7792529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004425596029865935,"score_gpt":0.19495516762518,"score_spread":0.1905295715953141,"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."}}