{"id":"W2040783625","doi":"10.1002/mame.200990000","title":"Macromol. Mater. Eng. 1/2009","year":2009,"lang":"en","type":"article","venue":"Macromolecular Materials and Engineering","topic":"Tribology and Wear Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Materials science; Cover (algebra); Adhesion; Composite material; Polymer; Polymer science; Nanotechnology; Mechanical engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002385144,0.0007030767,0.0003459039,0.001391266,0.0005813844,0.0004290606,0.0004795193,0.0005444874,0.1194266],"category_scores_gemma":[0.0004451692,0.0003745534,0.0003213357,0.0004321729,0.0001301179,0.000675221,0.0006234145,0.0005847229,0.0990589],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004848354,"about_ca_system_score_gemma":0.0003511973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007565222,"about_ca_topic_score_gemma":0.002488023,"domain_scores_codex":[0.9998356,0.000008117345,0.000007030036,0.00001994968,0.0001040255,0.00002517788],"domain_scores_gemma":[0.9998881,0.00001701763,0.00001455133,0.00002334332,0.00003848189,0.00001853923],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003169236,0.0001796748,0.0004025932,0.001063294,0.00003266622,0.0003387767,0.00006834127,0.001169925,0.2384463,0.005946782,0.2225944,0.5294404],"study_design_scores_gemma":[0.00003295039,0.00007267169,0.00112265,0.00008585443,0.0000220544,0.0005049344,0.00002012543,0.001523278,0.1121539,0.001335923,0.8831078,0.0000177061],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0603108,0.06064633,0.0941248,0.005373298,0.01142947,0.001170196,0.01147776,0.005098999,0.7503683],"genre_scores_gemma":[0.09202432,0.0247246,0.04437519,0.0009731922,0.0005989543,0.0004517888,0.009659803,0.0006253246,0.8265669],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8805733,"threshold_uncertainty_score":0.3995219,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0027282001827761,"score_gpt":0.1733288862257249,"score_spread":0.1706006860429488,"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."}}