{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001429979,0.0001155849,0.0001273636,0.0000823702,0.00004531581,0.0001746078,0.00183956,0.0000367033,0.00002339861],"category_scores_gemma":[0.0001627269,0.0001023019,0.00001849108,0.0002209659,0.00001253183,0.001119391,0.001128028,0.0001055143,0.0006937518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001630619,"about_ca_system_score_gemma":0.00001833746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000478503,"about_ca_topic_score_gemma":0.000008532194,"domain_scores_codex":[0.9991743,0.00000954764,0.0001372525,0.0003212812,0.00008358195,0.0002740601],"domain_scores_gemma":[0.9985824,0.0001307229,0.00001953831,0.001163392,0.00003080923,0.00007311838],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[5.443864e-7,0.00008246051,0.002099039,0.0001375147,0.00006026576,0.00002876303,0.001620429,0.0001020643,0.009059032,0.03165084,0.0557277,0.8994313],"study_design_scores_gemma":[0.00008799495,0.000008838048,0.008669243,0.00003140044,0.000003365822,0.000008522393,0.00002162549,0.9645193,0.0008513589,0.000126673,0.02550893,0.0001627169],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01795827,0.0019671,0.9744737,0.0002336157,0.001115822,0.0001282536,0.00000524453,0.0006448528,0.003473199],"genre_scores_gemma":[0.8033408,0.00004404026,0.1956791,0.00006777582,0.0003836724,0.00002892091,0.00004226716,0.00002385079,0.0003895343],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9644173,"threshold_uncertainty_score":0.8917007,"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."}}