{"id":"W4241102883","doi":"10.1007/978-1-4020-3995-9_3","title":"Abrasion","year":2007,"lang":"en","type":"book-chapter","venue":"Encyclopedia of earth sciences series/Encyclopedia of earth sciences","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Abrasion (mechanical); 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":[0.0005007741,0.00107017,0.0006379177,0.002478223,0.001643587,0.002719256,0.001612918,0.001332529,0.2721238],"category_scores_gemma":[0.001887642,0.0003907688,0.0005989476,0.0009400957,0.0008064893,0.001854345,0.002631492,0.001866935,0.1452461],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005495386,"about_ca_system_score_gemma":0.0008798238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001814636,"about_ca_topic_score_gemma":0.002886666,"domain_scores_codex":[0.9987848,0.00004499064,0.00003482613,0.0001850379,0.000822945,0.0001273983],"domain_scores_gemma":[0.9993481,0.00007219757,0.00003134241,0.0001467048,0.0003284601,0.00007316366],"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":[0.00020316,0.0001771718,0.0006765521,0.0004620821,0.00001532702,0.0005528998,0.0006596796,0.0004435998,0.01569363,0.0469044,0.2967367,0.6374748],"study_design_scores_gemma":[0.00001034102,0.00005111088,0.0005237604,0.00009655129,0.000009646712,0.0005578182,0.0001986075,0.0002750283,0.005076458,0.003951919,0.9892339,0.00001506165],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.004862352,0.001400254,0.01127538,0.000830923,0.002408807,0.0001694125,0.0004658329,0.002250839,0.9763362],"genre_scores_gemma":[0.02530641,0.0008487917,0.004474202,0.0008536787,0.0002076575,0.00005597475,0.0005727028,0.00056021,0.9671203],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.2721238,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01870318987176639,"score_gpt":0.2517237163769124,"score_spread":0.233020526505146,"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."}}