{"id":"W3208371878","doi":"10.1049/pbte098e_ch9","title":"A generation problem","year":2021,"lang":"en","type":"book-chapter","venue":"IET eBooks","topic":"Image Processing Techniques and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"L'Alliance Boviteq","funders":"","keywords":"Discriminator; Generator (circuit theory); Generative grammar; Artificial intelligence; Computer science; Generative adversarial network; Selection (genetic algorithm); Function (biology); Adversarial system; Image (mathematics); Pattern recognition (psychology); Telecommunications; Physics","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":[],"consensus_categories":[],"category_scores_codex":[0.0000296142,0.0001613304,0.000132696,0.00004037119,0.00004819562,0.00006538042,0.00008803158,0.0001845393,0.0001048836],"category_scores_gemma":[7.198192e-7,0.0001781934,0.00005985053,0.000005712865,0.00001936595,0.00001706936,0.00002488325,0.0002096772,0.0000512392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003959675,"about_ca_system_score_gemma":0.00002996391,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001074018,"about_ca_topic_score_gemma":0.000005368302,"domain_scores_codex":[0.999505,0.000001366631,0.0001532117,0.0001570097,0.00008344212,0.00009991705],"domain_scores_gemma":[0.9996505,0.000003615019,0.00002940707,0.0002353049,0.00005159437,0.00002954562],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[8.078889e-7,0.000006137284,1.511391e-7,0.0003765011,0.0000882472,0.00002630401,0.0001547483,0.0001594653,0.02912145,0.5976221,0.1038765,0.2685677],"study_design_scores_gemma":[0.00003756071,0.000006105089,8.106921e-8,0.0001243851,0.00002819033,0.00001234684,7.485331e-7,0.002557105,0.01263062,0.02475423,0.9595875,0.0002611939],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000004158856,0.0005187814,0.03287457,0.00002660141,0.00006155737,0.0001669294,0.00001516978,0.0006958095,0.9656364],"genre_scores_gemma":[0.001856909,0.0000729544,0.03797228,0.00008890696,0.0004498237,0.0001287867,0.0001287176,0.0001188425,0.9591828],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.855711,"threshold_uncertainty_score":0.7266517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03143441616405856,"score_gpt":0.2364529643454827,"score_spread":0.2050185481814241,"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."}}