{"id":"W4251463557","doi":"10.1007/978-3-662-53120-4_300080","title":"Chip Breaking","year":2019,"lang":"en","type":"book-chapter","venue":"","topic":"Material Properties and Processing","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Chip; Computer science; Telecommunications","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":[0.000313441,0.001016401,0.0005245269,0.001193505,0.001665721,0.002841815,0.001507465,0.001173267,0.1809001],"category_scores_gemma":[0.0007928183,0.0004939603,0.0005668676,0.0007571649,0.001085118,0.002395599,0.002084774,0.002655112,0.08604243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00118435,"about_ca_system_score_gemma":0.00103304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001436521,"about_ca_topic_score_gemma":0.003031437,"domain_scores_codex":[0.9995514,0.00002106364,0.000008303209,0.00009431737,0.0002514415,0.00007350546],"domain_scores_gemma":[0.9997525,0.00003470679,0.00000968213,0.00009108162,0.00008342614,0.00002865947],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005518667,0.00004146743,0.0000839928,0.0002834763,0.00001338134,0.000113725,0.0001885675,0.0005480984,0.01024261,0.2004078,0.5091285,0.2788932],"study_design_scores_gemma":[0.000002986179,0.00001671768,0.000101421,0.00005052893,0.000003890947,0.000101862,0.00003872432,0.0002701998,0.003053357,0.008550987,0.9878029,0.000006444287],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.001352846,0.004896754,0.01288101,0.001427655,0.004052278,0.0000746217,0.0003138035,0.0007352974,0.9742657],"genre_scores_gemma":[0.007181448,0.002279435,0.002445604,0.0007889117,0.0002754645,0.00004681546,0.0002546591,0.0002440827,0.9864836],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1809001,"threshold_uncertainty_score":0.605171,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0136771529152027,"score_gpt":0.1713020799975578,"score_spread":0.1576249270823551,"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."}}