{"id":"W6967584570","doi":"10.5281/zenodo.10028593","title":"GIST: Generated Inputs Sets Transferability in Deep Learning","year":2023,"lang":"en","type":"other","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Replication (statistics); Property (philosophy); Deep learning; Set (abstract data type); Testability; Artificial neural network; Test set; Scratch","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":[0.00414498,0.002052131,0.0008990591,0.001513575,0.0005937314,0.002666989,0.005764945,0.002169063,0.08852036],"category_scores_gemma":[0.02376495,0.001316723,0.002554378,0.001128642,0.001272943,0.00408575,0.005014584,0.004470285,0.02854005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001609559,"about_ca_system_score_gemma":0.002330092,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003986823,"about_ca_topic_score_gemma":0.004572638,"domain_scores_codex":[0.9971159,0.000699067,0.000256733,0.0004407293,0.00124093,0.0002465946],"domain_scores_gemma":[0.9942328,0.002680169,0.0002251352,0.001969994,0.0007499864,0.0001417546],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001058236,0.0003380251,0.003468501,0.001470557,0.0002814803,0.0006249971,0.0002898659,0.1123373,0.007024261,0.05292776,0.5032246,0.3169545],"study_design_scores_gemma":[0.0006017283,0.000314449,0.001145308,0.0002854193,0.00005940992,0.0003515914,0.00006610031,0.7386792,0.02505971,0.1131437,0.1201902,0.0001031851],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006059652,0.0005572411,0.5789523,0.0009544679,0.0004107083,0.0005786091,0.02157061,0.379394,0.01152251],"genre_scores_gemma":[0.1949032,0.0008596329,0.5746613,0.001434011,0.0002363402,0.003880454,0.112026,0.08928771,0.02271122],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08852036,"threshold_uncertainty_score":0.2961301,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01378120075821872,"score_gpt":0.2475564132278316,"score_spread":0.2337752124696129,"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."}}