{"id":"W7093320576","doi":"10.5281/zenodo.17410742","title":"PANIC!: An interactive AI playground for creating feedback loops of generative AI models","year":2025,"lang":"","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cybernet Systems Corporation (Canada)","funders":"","keywords":"Codebase; Architecture; Resource (disambiguation); Data migration; Provisioning; Legacy system","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":[0.003101616,0.001424227,0.0006100298,0.0008589648,0.0009445124,0.003763999,0.002820828,0.001454895,0.09416047],"category_scores_gemma":[0.008865299,0.001177469,0.00158294,0.0004170388,0.001793062,0.004946577,0.006788013,0.002559684,0.01412955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001057096,"about_ca_system_score_gemma":0.001016298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002006212,"about_ca_topic_score_gemma":0.003056674,"domain_scores_codex":[0.9990269,0.0004130306,0.00004338115,0.0001723425,0.0002592472,0.00008511781],"domain_scores_gemma":[0.9967352,0.002291829,0.00006364677,0.0004743959,0.0002261114,0.0002088056],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001044384,0.0003735414,0.001480851,0.0009209568,0.0001560237,0.0007730485,0.005138593,0.06467289,0.01856268,0.3388823,0.2119984,0.3559963],"study_design_scores_gemma":[0.000303778,0.0001717737,0.000341834,0.0002618301,0.00005761096,0.0002282823,0.0006133438,0.2926797,0.00981317,0.2012695,0.494146,0.0001132177],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.002863044,0.00008417024,0.9158239,0.0006129561,0.0001764041,0.0001596148,0.0005549237,0.05961344,0.02011147],"genre_scores_gemma":[0.1044306,0.0003140616,0.8156051,0.0006604948,0.0001282686,0.001058092,0.002956657,0.03282499,0.04202167],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.09416047,"threshold_uncertainty_score":0.3149981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1160966124660178,"score_gpt":0.3586623963362921,"score_spread":0.2425657838702743,"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."}}