{"id":"W3037550867","doi":"10.1016/j.datak.2013.01.001","title":"Diamond dicing","year":2013,"lang":"en","type":"article","venue":"Data & Knowledge Engineering","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université TÉLUQ; University of New Brunswick","funders":"","keywords":"Wafer dicing; Materials science; Nanotechnology; Wafer","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":[0.0006719115,0.0008491109,0.0008076594,0.002998227,0.002039825,0.002126048,0.001552524,0.001374425,0.2076494],"category_scores_gemma":[0.002549401,0.0005317304,0.0007107699,0.001831517,0.0008522142,0.001746976,0.002514314,0.002190732,0.05262961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007051152,"about_ca_system_score_gemma":0.001334974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001545897,"about_ca_topic_score_gemma":0.002550814,"domain_scores_codex":[0.9988838,0.00006633622,0.00005400756,0.000219624,0.0006701996,0.000105986],"domain_scores_gemma":[0.9986926,0.000173157,0.00004374784,0.0004216087,0.0005508488,0.000118083],"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":[0.0002788423,0.00006525256,0.0005593763,0.0004376066,0.00002572062,0.0005022361,0.0002091069,0.002620682,0.01556131,0.1736902,0.3190831,0.4869666],"study_design_scores_gemma":[0.00004251735,0.00005846533,0.0003032098,0.00007672168,0.00001332822,0.0006701846,0.0001259633,0.004529274,0.0111586,0.02757488,0.9554117,0.00003518411],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.009290629,0.001502258,0.1970457,0.002601035,0.005889241,0.0004514878,0.002563318,0.007415484,0.7732409],"genre_scores_gemma":[0.1229949,0.001716791,0.2923267,0.002030158,0.0008671508,0.0004056504,0.005145384,0.003731426,0.5707819],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7923506,"threshold_uncertainty_score":0.6946564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0305814111118762,"score_gpt":0.2466045792735479,"score_spread":0.2160231681616717,"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."}}