{"id":"W4231467345","doi":"10.3390/books978-3-03842-750-6","title":"Advanced Nanoindentation in Materials","year":2018,"lang":"en","type":"book","venue":"","topic":"Metal and Thin Film Mechanics","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Fundação para a Ciência e a Tecnologia; National Natural Science Foundation of China; Ministry of Science, ICT and Future Planning; National Research Foundation","keywords":"Nanoindentation; Materials science; Composite material","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":[0.0003396437,0.0008881121,0.0006803591,0.001616038,0.0005931194,0.001628666,0.001045814,0.00100947,0.04813423],"category_scores_gemma":[0.000557682,0.0005349737,0.0004503038,0.0015883,0.0005803699,0.001916156,0.001369545,0.002501134,0.0222454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005626469,"about_ca_system_score_gemma":0.0003977906,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002084247,"about_ca_topic_score_gemma":0.0006559842,"domain_scores_codex":[0.999432,0.00002876525,0.00001779906,0.0000812303,0.0004172154,0.00002296511],"domain_scores_gemma":[0.9996537,0.0001195345,0.00001988904,0.00005010874,0.0001174559,0.00003925702],"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":[0.00003388813,0.00006176276,0.0001122807,0.0007977214,0.00002152455,0.0001440058,0.0001363321,0.001201457,0.02281043,0.02942578,0.4522023,0.4930525],"study_design_scores_gemma":[0.000003189217,0.00002162294,0.000184825,0.00009802821,0.000003553485,0.0002910466,0.00001669636,0.001091617,0.00462775,0.005428324,0.9882223,0.00001098252],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.003490894,0.1890319,0.1416578,0.004270386,0.02743116,0.0002132005,0.001399704,0.004863979,0.6276409],"genre_scores_gemma":[0.01144485,0.04416986,0.03517176,0.002031119,0.003612564,0.0001774443,0.001363061,0.001072802,0.9009565],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.04813423,"threshold_uncertainty_score":0.161025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006958701016370646,"score_gpt":0.191011500040363,"score_spread":0.1840527990239923,"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."}}