{"id":"W1990463796","doi":"10.1109/chinasip.2014.6889185","title":"Message from Technical Chairs","year":2014,"lang":"en","type":"article","venue":"","topic":"Engineering and Test Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Pleasure; China; Work (physics); Computer science; Public relations; Telecommunications; Political science; Engineering; Psychology; Law","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":[0.00005851979,0.00007087465,0.00009073828,0.00002173374,0.00001006222,0.00001148336,0.00007668054,0.00005430659,0.000116703],"category_scores_gemma":[0.00001529761,0.00006265852,0.00002491808,0.00004156265,0.000005475199,0.00001905458,0.000008651084,0.00007566534,0.0001969088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001255105,"about_ca_system_score_gemma":8.590491e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003148765,"about_ca_topic_score_gemma":0.00001190377,"domain_scores_codex":[0.9996634,0.0000045038,0.0000866786,0.00007360942,0.00006019951,0.0001116645],"domain_scores_gemma":[0.9997204,0.00004854661,0.00000346637,0.0001759676,0.000004189355,0.00004741632],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000005688224,0.00009393747,0.006718323,0.0003673006,0.0002327376,0.00002744026,0.0004147904,0.2994698,0.3543741,0.1078961,0.1868965,0.04350342],"study_design_scores_gemma":[0.0006635,0.00004853903,0.01465702,0.0001133918,0.00002199864,0.00001475297,0.0000307397,0.5781,0.0254005,0.001474569,0.3786482,0.0008268722],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.09414492,0.0002495906,0.3648225,0.00006364023,0.0008606388,0.0000827092,0.000007192668,0.00505592,0.5347129],"genre_scores_gemma":[0.9973634,0.000003638495,0.001871365,0.00001300851,0.0001594602,0.000008244977,0.000003855081,0.00002183288,0.0005552021],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9032184,"threshold_uncertainty_score":0.255514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003358062124026476,"score_gpt":0.1589048667011293,"score_spread":0.1555468045771028,"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."}}