{"id":"W4379164732","doi":"10.1007/978-1-4842-9367-6_4","title":"Core Generative AI Technology","year":2023,"lang":"en","type":"book-chapter","venue":"Apress eBooks","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Generative grammar; Core (optical fiber); Artificial intelligence; Computer science; Library science; Mathematics education; Psychology; Telecommunications","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003928954,0.0002421704,0.0002430197,0.0001538285,0.0001580801,0.0000841625,0.001136966,0.0003194397,0.00001242672],"category_scores_gemma":[0.000002720176,0.0002239753,0.00008750199,0.00003529892,0.0001372333,0.00003860534,0.0006672723,0.0004629844,0.0003957649],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001753702,"about_ca_system_score_gemma":0.00004481626,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003944805,"about_ca_topic_score_gemma":0.00001514331,"domain_scores_codex":[0.9988278,0.000004483174,0.0002073738,0.0005523222,0.0001721845,0.0002358953],"domain_scores_gemma":[0.9987264,0.00005161888,0.0001250455,0.0009461384,0.00008712406,0.00006370076],"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":[4.382832e-7,0.000001731514,3.004398e-7,0.000004089285,0.00002106411,0.00002276189,0.00002442167,0.00001484742,0.0001810702,0.9450189,0.01546745,0.03924294],"study_design_scores_gemma":[0.00005612508,0.00002329489,8.341822e-7,0.00004392451,0.000009968637,0.00001032116,6.608198e-7,0.001732687,0.0006554524,0.5247899,0.4724534,0.000223431],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00000920098,0.0001718343,0.06634306,0.002253772,0.0005367184,0.0004860011,0.0000288307,0.001184032,0.9289865],"genre_scores_gemma":[0.001101561,0.00003651594,0.003550931,0.001121158,0.0002918569,0.0001324675,0.00001245246,0.00005098291,0.9937021],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.456986,"threshold_uncertainty_score":0.9133448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07740852184352764,"score_gpt":0.2841523681502863,"score_spread":0.2067438463067587,"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."}}