{"id":"W4237170106","doi":"10.1017/9781108989817.012","title":"Theoretical Foundations for Native AI and Machine Learning","year":2021,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Machine Learning and Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Huawei Technologies (Canada)","funders":"","keywords":"Computer science; Content (measure theory); Artificial intelligence; World Wide Web; Mathematics","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":[0.001324472,0.0006156575,0.0005608206,0.00149669,0.001566428,0.004147971,0.001212939,0.001764235,0.018324],"category_scores_gemma":[0.003569578,0.0004455549,0.0007358904,0.001677371,0.006346913,0.006953551,0.001722796,0.00391857,0.005165352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002330052,"about_ca_system_score_gemma":0.00114992,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001452204,"about_ca_topic_score_gemma":0.001569078,"domain_scores_codex":[0.9992908,0.0002687561,0.00003447566,0.0001088434,0.0002194764,0.00007764336],"domain_scores_gemma":[0.997768,0.001585254,0.00006607975,0.0002899645,0.0002083819,0.00008219563],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[9.924382e-7,0.000002469649,0.00001680488,0.0000277017,0.000001903526,0.0000104151,0.0000609368,0.0001932767,0.00002899389,0.9912116,0.004199551,0.004245288],"study_design_scores_gemma":[9.036241e-7,0.000001064715,0.00002299933,0.00001968778,8.301536e-7,0.00002585457,0.00001936468,0.0007109619,0.00003463048,0.9818866,0.01727533,0.000001727511],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.004210799,0.03189154,0.274047,0.0190333,0.001242636,0.00003805699,0.0003613272,0.0006595225,0.6685157],"genre_scores_gemma":[0.4814595,0.04647176,0.1748568,0.006602217,0.005407178,0.0006177541,0.001284719,0.0008301947,0.2824699],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.018324,"threshold_uncertainty_score":0.06129986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01835824372265123,"score_gpt":0.2277507237517058,"score_spread":0.2093924800290546,"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."}}