{"id":"W4252679972","doi":"10.1109/tetci.2020.3007698","title":"IEEE Computational Intelligence Society","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Emerging Topics in Computational Intelligence","topic":"Internet of Things and AI","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Xiamen University; Brock University; Victoria University; Victoria University of Wellington; Intel Corporation","keywords":"Computer science; Computational intelligence; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002661166,0.0002944361,0.0002629212,0.000163898,0.0002524652,0.0001997896,0.001213902,0.0001151897,0.0001167568],"category_scores_gemma":[0.00001845031,0.000324681,0.0002565082,0.0008716534,0.000126446,0.0005528624,0.00001720519,0.0006833002,0.0002043583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001453503,"about_ca_system_score_gemma":0.0001481046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000043178,"about_ca_topic_score_gemma":0.000009606837,"domain_scores_codex":[0.9974203,0.0000763284,0.0006845152,0.0007371975,0.0006907807,0.0003909547],"domain_scores_gemma":[0.9987915,0.0003884403,0.000144991,0.0002599404,0.0002385525,0.0001766374],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001142247,0.0001258132,0.00001125947,0.00002464716,0.00003075339,0.00001289597,0.002720271,0.9087269,0.00001598833,0.03693908,0.000339776,0.05104124],"study_design_scores_gemma":[0.00009095787,0.0001302376,0.00004434208,0.0000652281,0.000005683858,0.00001186944,0.0001330586,0.9479695,0.003802893,0.04653946,0.000882452,0.0003243407],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001616699,0.00003937288,0.9839848,0.01224342,0.001270944,0.0001921407,0.00001094627,0.0002274895,0.0004141757],"genre_scores_gemma":[0.8098975,0.00003229383,0.1854029,0.004350309,0.0001381514,0.00001982682,0.000003789831,0.00001713352,0.0001380793],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8082809,"threshold_uncertainty_score":0.9999205,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04799268395234947,"score_gpt":0.3045529724079871,"score_spread":0.2565602884556377,"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."}}