{"id":"W2106075707","doi":"10.1145/2724718","title":"MAGIC","year":2015,"lang":"en","type":"article","venue":"ACM Transactions on Architecture and Code Optimization","topic":"Semiconductor materials and devices","field":"Engineering","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"York University; Intel Corporation; National Science Foundation","keywords":"Computer science; MAGIC (telescope); Process (computing); Embedded system; Operating system","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005083234,0.0006401498,0.0003712019,0.0006776959,0.0006275148,0.0009245675,0.0009331627,0.0007678479,0.01932786],"category_scores_gemma":[0.002741918,0.0002941789,0.0003059612,0.0003476594,0.0008829411,0.002026059,0.001614048,0.001118836,0.00641022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000518667,"about_ca_system_score_gemma":0.0006497453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005514281,"about_ca_topic_score_gemma":0.0009436278,"domain_scores_codex":[0.9988425,0.0001124548,0.00004590542,0.000192663,0.0006488793,0.0001574284],"domain_scores_gemma":[0.9985513,0.0002272095,0.0001813344,0.000633604,0.0003357183,0.0000708603],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001297102,0.0001400304,0.006062529,0.0006138643,0.0001168291,0.0007148403,0.0004688685,0.00921445,0.1519502,0.1370606,0.136579,0.5557817],"study_design_scores_gemma":[0.000102802,0.0008963607,0.003309467,0.0001965016,0.000145964,0.003327005,0.0001359262,0.06389449,0.2271659,0.0476963,0.6530082,0.0001211057],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2091739,0.005813533,0.3762269,0.004584535,0.002390767,0.0005159922,0.002329095,0.05209501,0.3468702],"genre_scores_gemma":[0.8222675,0.001440657,0.0750505,0.002048204,0.0003425542,0.0002186962,0.001921014,0.002475933,0.09423486],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01932786,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01962339405562092,"score_gpt":0.218150015301863,"score_spread":0.198526621246242,"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."}}