{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002033519,0.001464848,0.001227034,0.001063567,0.001438985,0.004581558,0.002322809,0.003757348,0.08315648],"category_scores_gemma":[0.008668971,0.0006775309,0.001914256,0.001474128,0.0016236,0.004871269,0.003584198,0.00402855,0.01476037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001946152,"about_ca_system_score_gemma":0.001990793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001316494,"about_ca_topic_score_gemma":0.00139195,"domain_scores_codex":[0.9975927,0.0006874257,0.0001464849,0.0009021364,0.0004046624,0.0002664212],"domain_scores_gemma":[0.9974951,0.001598423,0.0001020993,0.0003593946,0.000303946,0.0001411181],"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":[0.0001259576,0.0001707251,0.0007540276,0.0004600136,0.00008000503,0.0003178684,0.0001979034,0.04239876,0.0007876569,0.6424002,0.1529918,0.159315],"study_design_scores_gemma":[0.00005214672,0.00004724093,0.0002283025,0.000131413,0.0000256654,0.0003709205,0.0001013173,0.1372124,0.0007814619,0.7843201,0.07670373,0.00002531926],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.009697177,0.004013385,0.8116421,0.01289558,0.001586351,0.0005424662,0.005116253,0.001587654,0.152919],"genre_scores_gemma":[0.3362827,0.006365062,0.4052175,0.005441643,0.003009508,0.00167201,0.0149226,0.002147611,0.2249414],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.08315648,"threshold_uncertainty_score":0.2781861,"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."}}