{"id":"W2320208950","doi":"10.1021/am4058259","title":"Surface Roughening of PET Films through Blend Phase Coarsening","year":2014,"lang":"en","type":"article","venue":"ACS Applied Materials & Interfaces","topic":"Material Properties and Processing","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Polyethylene terephthalate; X-ray photoelectron spectroscopy; Polystyrene; Surface roughness; Surface tension; Morphology (biology); Polybutylene terephthalate; Surface finish; Composite material; Adhesion; Polymer; Surface modification; Adhesive; Polymer blend; Chemical engineering; Phase (matter); Polymer chemistry; Polyester; Layer (electronics); Copolymer; Organic chemistry","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":[0.0001002174,0.0002763238,0.0002790374,0.000201356,0.0001066709,0.0002639503,0.0001623616,0.0002207292,0.0007966137],"category_scores_gemma":[0.0002070035,0.0001783109,0.0003201689,0.0001414622,0.0001131936,0.0004439443,0.0001750968,0.0004377459,0.0001749858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001392445,"about_ca_system_score_gemma":0.00005623669,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002095613,"about_ca_topic_score_gemma":0.0004289285,"domain_scores_codex":[0.9998881,0.000009626502,0.000009368452,0.0000284647,0.00004534612,0.0000191263],"domain_scores_gemma":[0.9998748,0.00003450969,0.00003839033,0.00002164821,0.00002118753,0.000009378716],"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":[0.00001188834,0.000004365501,0.00005221213,0.00001983441,0.00000222863,0.00002736086,0.000008751147,0.00006496404,0.9985976,0.00002685457,0.000005323341,0.001178578],"study_design_scores_gemma":[0.000003775951,0.00008494969,0.001046675,0.000001732379,0.000005935234,0.00007557507,0.000008270583,0.001104702,0.9970756,0.00001952975,0.0005707219,0.000002535423],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9870481,0.00118061,0.01068916,0.00003110016,0.00002619488,0.00003466993,0.00005032384,0.00009492184,0.0008449853],"genre_scores_gemma":[0.9907532,0.000648269,0.006921764,0.00003236245,0.00001224204,0.00001800778,0.00007828059,0.00003106795,0.001504835],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007966137,"threshold_uncertainty_score":0.002664924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01634240556189082,"score_gpt":0.2418956546859473,"score_spread":0.2255532491240565,"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."}}