{"id":"W1969360909","doi":"10.1002/pen.20246","title":"Temporary networks in polymer‐modified asphalts","year":2004,"lang":"en","type":"article","venue":"Polymer Engineering and Science","topic":"Asphalt Pavement Performance Evaluation","field":"Engineering","cited_by":94,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Shear thinning; Rheology; Polymer; Asphaltene; Composite material; Shear (geology); Shear rate; Viscosity; Asphalt; Styrene; Polymer science; Polymer chemistry; Chemical engineering; Copolymer","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":[0.0001459733,0.000311077,0.0001513018,0.0004242514,0.0001838847,0.0003304286,0.0001994081,0.000224849,0.001236221],"category_scores_gemma":[0.0003669441,0.0001420851,0.0001573747,0.0002434767,0.0002257473,0.0005682043,0.0002057818,0.0003664933,0.0001766516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002131489,"about_ca_system_score_gemma":0.00008762541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000246768,"about_ca_topic_score_gemma":0.0004701284,"domain_scores_codex":[0.9998211,0.00003216217,0.000007987061,0.00004105879,0.00005727996,0.00004034713],"domain_scores_gemma":[0.9996988,0.00005277485,0.0001262764,0.00002149957,0.00003948411,0.00006119945],"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":[0.00009158394,0.00001955297,0.0003391618,0.00004099853,0.00001030709,0.00005579567,0.00002716174,0.0006678313,0.9964504,0.0001829691,0.00002313424,0.002090973],"study_design_scores_gemma":[0.000007566662,0.0003767825,0.003900059,0.00000969082,0.00002262632,0.000148554,0.0000280955,0.001954591,0.991001,0.0001124042,0.002432896,0.000005666033],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958019,0.0008183289,0.002040307,0.00001700097,0.00001242158,0.00001136845,0.00006759924,0.00004334107,0.001187686],"genre_scores_gemma":[0.9980068,0.0002426566,0.0008140506,0.000008625079,0.000004547815,0.000008275229,0.0001049156,0.000010024,0.0008001905],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001236221,"threshold_uncertainty_score":0.004135609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01102485231860868,"score_gpt":0.2198802490655574,"score_spread":0.2088553967469488,"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."}}