{"id":"W4213101158","doi":"10.5220/0010816800003122","title":"Dynamic Latent Scale for GAN Inversion","year":2022,"lang":"en","type":"article","venue":"","topic":"Speech Recognition and Synthesis","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Inversion (geology); Computer science; Scale (ratio); Geology; Physics; Geomorphology","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":[0.0004839335,0.0009631577,0.0006147373,0.0003303114,0.0002182115,0.0006612171,0.0009137557,0.001011088,0.007957643],"category_scores_gemma":[0.001938423,0.0004489462,0.0006464553,0.0004470128,0.0004250416,0.0009206013,0.001085159,0.002199769,0.003351991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003822106,"about_ca_system_score_gemma":0.000625668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00309082,"about_ca_topic_score_gemma":0.007577044,"domain_scores_codex":[0.9997035,0.00008645253,0.000009599672,0.00008576739,0.0000763419,0.00003821082],"domain_scores_gemma":[0.9996332,0.0001593638,0.00001824537,0.00009578016,0.00006889148,0.00002456865],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002951822,0.0001219296,0.0008373842,0.0001706552,0.0001235962,0.0001675123,0.0001092698,0.2924021,0.03416756,0.07037227,0.02750387,0.5737287],"study_design_scores_gemma":[0.00001040208,0.00001928338,0.000157501,0.000009684733,0.000007262764,0.00004761808,0.00001065718,0.9776648,0.00285633,0.01567342,0.003533806,0.000009357609],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002360141,0.0001636442,0.9947302,0.0001188628,0.00006401169,0.00002029405,0.0001446849,0.0008639785,0.001534124],"genre_scores_gemma":[0.3248356,0.0006012183,0.6521557,0.0005975137,0.0002294994,0.0003216112,0.00213223,0.001078176,0.0180484],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007957643,"threshold_uncertainty_score":0.02662092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01883095066766176,"score_gpt":0.2323575539620046,"score_spread":0.2135266032943428,"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."}}