{"id":"W4284666116","doi":"10.51593/20210064","title":"China's Advanced AI Research: Monitoring China's Paths to \"General\" Artificial Intelligence","year":2022,"lang":"en","type":"report","venue":"","topic":"Cognitive Functions and Memory","field":"Psychology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"China; Track (disk drive); Artificial intelligence; Computer science; Brain research; Engineering management; Data science; Engineering; Operations research; Political science; Psychology; Operating system","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002628497,0.0003692471,0.0002336566,0.002286919,0.001505206,0.002160803,0.0005158439,0.0006623234,0.004679183],"category_scores_gemma":[0.002196821,0.0001599551,0.0002160557,0.003276422,0.0006267076,0.001470674,0.001223032,0.0008193389,0.0007904593],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004345286,"about_ca_system_score_gemma":0.03400261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1027778,"about_ca_topic_score_gemma":0.1638997,"domain_scores_codex":[0.9989631,0.0001076715,0.00004873201,0.00006764816,0.0005296567,0.00028313],"domain_scores_gemma":[0.9955253,0.0002534803,0.0003796286,0.0002614538,0.00194792,0.001632187],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003012993,0.0003204785,0.2060733,0.000769735,0.00006578698,0.0003961757,0.002572294,0.001128932,0.005240344,0.02877854,0.5229264,0.2314268],"study_design_scores_gemma":[0.00004235545,0.0002789696,0.5851663,0.0001568694,0.00002894595,0.00008288193,0.002726416,0.001885395,0.002948323,0.002414591,0.4042256,0.00004339468],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.569459,0.01385188,0.002768619,0.1024836,0.002127154,0.0008388201,0.02677008,0.000991141,0.2807097],"genre_scores_gemma":[0.8502818,0.01283221,0.008064759,0.007616487,0.0005962412,0.000504686,0.0180754,0.0001099345,0.1019186],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1027778,"threshold_uncertainty_score":0.2043592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2464464297160464,"score_gpt":0.4944873658892648,"score_spread":0.2480409361732184,"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."}}