{"id":"W3088112497","doi":"10.1016/j.apsusc.2020.147863","title":"Recovery behaviour of shape memory polymer with laser-inscribed hierarchical micro/nanoscale features","year":2020,"lang":"en","type":"article","venue":"Applied Surface Science","topic":"Polymer composites and self-healing","field":"Materials Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Microscale chemistry; Materials science; Nanostructure; Microstructure; Nanoscopic scale; Deformation (meteorology); Femtosecond; Texture (cosmology); Laser; Composite material; Porosity; Surface micromachining; Nano-; Nanotechnology; Optics; Fabrication; Computer science","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":[0.000454206,0.0002476395,0.0003728788,0.00006722806,0.0003531527,0.0001504178,0.0009985346,0.00008014122,0.0001957503],"category_scores_gemma":[0.00002264423,0.0001983712,0.00006421054,0.0008710821,0.0009839269,0.0002902438,0.0003004492,0.0002366423,0.00007152585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003710058,"about_ca_system_score_gemma":0.0003331333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001421506,"about_ca_topic_score_gemma":0.00001391411,"domain_scores_codex":[0.9973258,0.00004446432,0.0003423197,0.0008024788,0.0008190588,0.0006658369],"domain_scores_gemma":[0.9988331,0.0001022469,0.0001720256,0.0004225631,0.00007844387,0.0003916464],"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":[0.0002198174,0.00006078526,0.000602871,0.00002192767,0.000004028938,0.000007602857,0.0008044974,0.0006317338,0.9966537,0.0002598124,0.0001920583,0.000541159],"study_design_scores_gemma":[0.0004024979,0.0001757226,0.002395241,0.00002233476,0.00002134203,0.00001131614,0.0002533511,0.0005235361,0.9958392,0.00002909484,0.00005132658,0.0002750504],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952134,0.0003396995,0.0002952332,0.001122627,0.0001753901,0.0002560492,0.0000512598,0.0001200425,0.002426309],"genre_scores_gemma":[0.9873105,0.0000103641,0.01140804,0.001010962,0.00005089048,0.000006936777,0.000004473284,0.00002346003,0.0001743875],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01111281,"threshold_uncertainty_score":0.8089342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0113770549849423,"score_gpt":0.2226163189144115,"score_spread":0.2112392639294692,"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."}}