{"id":"W2972114521","doi":"10.3390/coatings9100678","title":"Interlaboratory Study of Ice Adhesion Using Different Techniques","year":2019,"lang":"en","type":"article","venue":"Coatings","topic":"Icing and De-icing Technologies","field":"Engineering","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Chicoutimi","funders":"Norges Forskningsråd","keywords":"Adhesion; Paint adhesion testing; Materials science; Centrifuge; Composite material; Physics","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":[],"consensus_categories":[],"category_scores_codex":[0.008889074,0.001579123,0.0007896515,0.001892763,0.001458026,0.001612911,0.0009808205,0.001407073,0.003087386],"category_scores_gemma":[0.01298619,0.0005691989,0.001398039,0.001621057,0.001332139,0.0004535803,0.002005305,0.001259212,0.00212622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006839682,"about_ca_system_score_gemma":0.001017662,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002690088,"about_ca_topic_score_gemma":0.003573762,"domain_scores_codex":[0.9753152,0.003829309,0.001883158,0.009131893,0.008805643,0.001034785],"domain_scores_gemma":[0.9867524,0.003005721,0.001505109,0.002459255,0.005842729,0.000434881],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0008234148,0.0006973604,0.07576865,0.0008132244,0.0007500607,0.0002338571,0.002919991,0.0005743869,0.8785396,0.000743254,0.001282659,0.03685355],"study_design_scores_gemma":[0.00009179757,0.006181726,0.2444552,0.0002810345,0.001415006,0.001561888,0.001756838,0.002205191,0.7120279,0.0007959346,0.02902121,0.0002061869],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8143548,0.003549241,0.1557547,0.0003952509,0.001719625,0.002854652,0.004375553,0.001059309,0.01593682],"genre_scores_gemma":[0.8868213,0.001472286,0.08542358,0.000927319,0.0004838362,0.004311564,0.009101418,0.0006161993,0.01084251],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008889074,"threshold_uncertainty_score":0.04701048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01399529706592459,"score_gpt":0.2396347222818949,"score_spread":0.2256394252159703,"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."}}