{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.003018626,0.0004998639,0.0006333534,0.001178153,0.0007779769,0.0001220556,0.0006504852,0.0003692596,0.04112835],"category_scores_gemma":[0.0009750943,0.0004963719,0.0003150803,0.001443639,0.0001217468,0.00009468751,0.0007703129,0.002895011,0.001722947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008383154,"about_ca_system_score_gemma":0.000971454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005225429,"about_ca_topic_score_gemma":0.0002334286,"domain_scores_codex":[0.9941627,0.000545985,0.0008399844,0.001498504,0.001807684,0.001145168],"domain_scores_gemma":[0.9970708,0.0001865259,0.0001781569,0.001267262,0.0009113849,0.0003858593],"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":[0.0002219995,0.0004173062,0.0001627806,0.00004856431,0.0001540322,0.0004477323,0.001477286,0.0001385912,0.0004261553,0.004144599,0.06438406,0.9279769],"study_design_scores_gemma":[0.00009686681,0.0008754859,0.02157426,0.0001416144,0.00005985894,0.0001553955,0.004442907,0.000007884346,0.001300517,0.00355019,0.966989,0.0008060426],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.03549971,0.001690891,0.007947955,0.001556279,0.04127062,0.001915375,0.0002527354,0.0003848265,0.9094816],"genre_scores_gemma":[0.2628835,0.00127713,0.001105238,0.0002356098,0.01065589,0.002881206,0.000301411,0.0002923458,0.7203677],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9271709,"threshold_uncertainty_score":0.9997488,"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."}}