{"id":"W3211913805","doi":"","title":"PLUGIn: A simple algorithm for inverting generative models with recovery guarantees","year":2021,"lang":"en","type":"article","venue":"Neural Information Processing Systems","topic":"Cellular Automata and Applications","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Simple (philosophy); Computer science; Plug-in; Algorithm; Generative model; Generative grammar; Theoretical computer science; Programming language; Artificial intelligence","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0001461545,0.0001287918,0.0001607877,0.00007421122,0.000360308,0.001108216,0.0002589712,0.00006510668,0.000001000809],"category_scores_gemma":[0.00001641208,0.0001072714,0.00004200264,0.0004289891,0.00001884773,0.005038904,0.00006109948,0.0000991716,0.000007914174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004395339,"about_ca_system_score_gemma":0.0002037895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001898159,"about_ca_topic_score_gemma":0.000004022543,"domain_scores_codex":[0.998935,0.00002697187,0.0004024211,0.0001892716,0.0002355953,0.0002107339],"domain_scores_gemma":[0.998895,0.00004162257,0.00026962,0.0002534135,0.0004900519,0.00005031644],"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":[0.000007452996,0.00003808047,0.00001350646,0.00048675,0.00003101072,0.000004039414,0.004930309,0.1008457,0.001133459,0.02544696,0.00175081,0.8653119],"study_design_scores_gemma":[0.0002903301,0.00003288577,0.000005422422,0.0000634481,0.000005895185,0.00008482695,0.0004192552,0.9900532,0.003307111,0.001265905,0.004318642,0.0001530347],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002781257,0.000250832,0.9951541,0.0003623847,0.0001236816,0.0003508759,0.00002047899,0.0002398708,0.0007164708],"genre_scores_gemma":[0.7483011,0.000009893728,0.2487371,0.001468099,0.0001729501,0.0006267228,0.000342113,0.00001991765,0.0003221245],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8892075,"threshold_uncertainty_score":0.9999287,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02444358168361098,"score_gpt":0.2439302356381446,"score_spread":0.2194866539545337,"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."}}