{"id":"W4248218046","doi":"10.1088/1757-899x/585/1/011003","title":"Committee List","year":2019,"lang":"en","type":"article","venue":"IOP Conference Series Materials Science and Engineering","topic":"Advancements in Semiconductor Devices and Circuit Design","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Library science; Political science; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002643652,0.00017929,0.0002066765,0.00009345279,0.00007792736,0.0003068496,0.0002891438,0.00004433531,0.0004601721],"category_scores_gemma":[0.00002052324,0.000174739,0.0000110404,0.0002303607,0.0001325731,0.001062028,0.00006195865,0.00007606058,0.00006143588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004690453,"about_ca_system_score_gemma":0.00003171875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008399527,"about_ca_topic_score_gemma":0.000001287799,"domain_scores_codex":[0.9989499,0.000004206644,0.0001909459,0.0002343768,0.0002364357,0.0003840814],"domain_scores_gemma":[0.9995392,0.00001350657,0.00002230614,0.0002464516,0.00008130439,0.00009725709],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000001837621,0.000001945334,0.00005881269,0.0001006632,0.000004757256,0.000001539653,0.0002017546,0.001145659,0.9915623,0.006030408,0.00003353321,0.0008567785],"study_design_scores_gemma":[0.000209029,0.00006343062,0.001350493,0.0001208057,0.000007840065,0.00003581596,0.0005061488,0.005015262,0.9746821,0.0002865791,0.01720018,0.0005223192],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936356,0.0001214756,0.0005575903,0.00002191174,0.001613511,0.0001439989,0.00001112426,0.0002689369,0.003625859],"genre_scores_gemma":[0.998953,0.0001564352,0.0005677975,0.00003381542,0.00006494336,0.00001384993,0.000002908387,0.00002168401,0.0001855142],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01716664,"threshold_uncertainty_score":0.7125649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01427343551851202,"score_gpt":0.2099362176764418,"score_spread":0.1956627821579298,"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."}}