{"id":"W2987942974","doi":"10.48550/arxiv.1911.07444","title":"A Code Injection Method for Rapid Docker Image Building","year":2019,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Software Testing and Debugging Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Code (set theory); Image (mathematics); Computer science; Operating system; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007688898,0.0003128884,0.0003659594,0.0003778175,0.0001747549,0.0002013606,0.001559726,0.0003153852,0.00000677036],"category_scores_gemma":[0.0002781159,0.0003636836,0.0002787858,0.0004584189,0.00004590661,0.000359755,0.001598325,0.0004809364,0.00002447526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002297297,"about_ca_system_score_gemma":0.0001817516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002233053,"about_ca_topic_score_gemma":0.000005681507,"domain_scores_codex":[0.9979312,0.0001674086,0.0001968195,0.001248474,0.00008480349,0.0003712241],"domain_scores_gemma":[0.9972798,0.000688496,0.0002968656,0.001366421,0.000268482,0.00009992818],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003207107,0.000565677,0.008620992,0.001788973,0.0007204561,0.0004234748,0.001750338,0.3874702,0.00195849,0.4015443,0.1217003,0.07313608],"study_design_scores_gemma":[0.0002743379,0.0000998894,0.0001145236,0.0001333834,0.00004848779,0.00001412656,0.000004908106,0.7543625,0.0007980131,0.2425946,0.00116419,0.0003910857],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006169886,0.00004099972,0.98465,0.00009205716,0.0008119173,0.0005567996,0.00001994258,0.006990077,0.0006683267],"genre_scores_gemma":[0.3782175,0.00001937831,0.6209709,0.0001226845,0.00008113748,0.000004717747,0.000008997343,0.00002514177,0.0005495194],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3720476,"threshold_uncertainty_score":0.9998815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08449209376665238,"score_gpt":0.2500584903248717,"score_spread":0.1655663965582193,"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."}}