{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00112961,0.001053841,0.0008313924,0.001540701,0.000571561,0.004225135,0.001126149,0.001364632,0.132329],"category_scores_gemma":[0.003278402,0.000529582,0.0004647718,0.001994774,0.0007393718,0.002826212,0.00177335,0.0027369,0.1278911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006229586,"about_ca_system_score_gemma":0.001517449,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002204282,"about_ca_topic_score_gemma":0.002151668,"domain_scores_codex":[0.9992287,0.000104982,0.00005110661,0.000186777,0.0003823635,0.00004608317],"domain_scores_gemma":[0.9975548,0.0003815446,0.00007105662,0.0006841851,0.00112979,0.0001784616],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004474075,0.00005005167,0.0004461689,0.0001857245,0.0000315974,0.00007011013,0.00007430318,0.001015117,0.001399618,0.03964258,0.4387276,0.5183124],"study_design_scores_gemma":[0.00001098131,0.0000178363,0.0004242614,0.000129672,0.00001570956,0.000157432,0.00004806492,0.002789234,0.0005603117,0.02082602,0.9750089,0.00001160996],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002631999,0.02270391,0.1356643,0.01512377,0.01118278,0.0002640352,0.00276112,0.004534313,0.8051338],"genre_scores_gemma":[0.02912129,0.02043099,0.05161611,0.00303483,0.001780803,0.0003185863,0.006879224,0.000729491,0.8860887],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.867671,"threshold_uncertainty_score":0.4426848,"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."}}