{"id":"W4393831576","doi":"10.5281/zenodo.6459608","title":"Artifact for \"Identifying Concepts in Software Projects\"","year":2022,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Engineering Education and Technology","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Artifact (error); Software; Computer science; Software engineering; Artificial intelligence; Programming language","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005895488,0.0001710154,0.0001912861,0.0006755098,0.001151942,0.0008956534,0.002850334,0.0001231118,0.01497733],"category_scores_gemma":[0.001188298,0.0002035536,0.0000561378,0.0008640047,0.00007560781,0.0002246613,0.002155571,0.0005495278,0.001071191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002847406,"about_ca_system_score_gemma":0.00002145934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002791042,"about_ca_topic_score_gemma":0.000001566127,"domain_scores_codex":[0.9982951,0.0001631615,0.0002771437,0.0005873853,0.0002927041,0.0003845485],"domain_scores_gemma":[0.9986373,0.0000576355,0.0001339482,0.0008767153,0.0002118999,0.00008253037],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000004492736,0.00008113083,2.284408e-7,0.0001394293,0.0000134728,0.000009857463,0.0002970806,0.00005580895,0.00003207905,0.001176536,0.9800144,0.01817545],"study_design_scores_gemma":[0.0002625135,0.0001189369,0.00002507226,0.00002911773,0.000005096733,0.00005335817,0.00007983205,0.0002339693,0.00004193982,0.000185856,0.9987594,0.0002048616],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001422717,0.0002500335,0.1287677,0.001377224,0.001530704,0.002030137,0.8618771,0.003162168,0.0008626125],"genre_scores_gemma":[0.0005352198,0.00007404069,0.003383,0.0001776468,0.00008414937,0.000001138961,0.994771,0.0006386626,0.0003351611],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1328938,"threshold_uncertainty_score":0.9997066,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05955262109185731,"score_gpt":0.3021419267577753,"score_spread":0.242589305665918,"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."}}