{"id":"W4231579862","doi":"10.1109/tetci.2019.2911787","title":"IEEE Computational Intelligence Society","year":2019,"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":[0.0004027978,0.0002973402,0.0002703126,0.0002823214,0.0001970889,0.0001970545,0.00118513,0.0001305937,0.0002229025],"category_scores_gemma":[0.00000824735,0.0003225142,0.0002628501,0.0007458779,0.0001005486,0.0006243269,0.00001599454,0.0006513396,0.0005040294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002197499,"about_ca_system_score_gemma":0.0001520818,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006854607,"about_ca_topic_score_gemma":0.00001555019,"domain_scores_codex":[0.9973596,0.00007413293,0.0006690353,0.0007392842,0.0007297668,0.0004281443],"domain_scores_gemma":[0.9985995,0.0004811628,0.0001534216,0.0004051351,0.0002565105,0.0001042126],"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":[0.000008910619,0.0001682502,0.0000418973,0.00002470352,0.00003061012,0.000006133274,0.00119348,0.9001974,0.00001801769,0.05611977,0.0001404121,0.04205035],"study_design_scores_gemma":[0.0001025852,0.0001127577,0.0001276684,0.00011064,0.000004424004,0.00001813096,0.0001137102,0.9192867,0.00312194,0.07597572,0.0006877129,0.000338009],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009042951,0.00003447968,0.9844366,0.002323658,0.002780569,0.0002636545,0.000008102311,0.00017603,0.0009339395],"genre_scores_gemma":[0.8547367,0.00002900271,0.1428748,0.001296525,0.00007786856,0.00002115576,0.000004076581,0.00001810159,0.0009417541],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8456938,"threshold_uncertainty_score":0.9999227,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02748641007036938,"score_gpt":0.2970382420182139,"score_spread":0.2695518319478445,"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."}}