{"id":"W4393621863","doi":"10.5281/zenodo.6558365","title":"Dependency Update Strategies and Package Characteristics","year":2022,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Embedded Systems Design Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Concordia University","funders":"","keywords":"Dependency (UML); R package; Computer science; Programming language; Software engineering","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","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001081903,0.0002890788,0.000314497,0.0004225537,0.002008795,0.004310931,0.004002288,0.0001551034,0.02566641],"category_scores_gemma":[0.0002823133,0.0003193491,0.00005350585,0.0005176642,0.0001274543,0.0008631209,0.005939755,0.0007678639,0.0020264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001692089,"about_ca_system_score_gemma":0.00001770787,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003654896,"about_ca_topic_score_gemma":5.641074e-7,"domain_scores_codex":[0.9968868,0.0008234798,0.0004193753,0.0007860569,0.0006581661,0.0004260737],"domain_scores_gemma":[0.9976612,0.00003749868,0.0003254125,0.001472525,0.0003202373,0.0001831162],"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":[0.000006336853,0.00004976197,6.993236e-8,0.0001617117,0.00002784684,0.000104212,0.0001647309,4.04764e-7,0.0001413285,0.005859744,0.9774512,0.01603266],"study_design_scores_gemma":[0.0001233371,0.0002148198,0.00001720776,0.0000345164,0.00001403043,0.0003566797,0.0001001025,0.00006077726,0.00003597124,0.0006750121,0.9980435,0.000323997],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003680898,0.0002607467,0.04098648,0.0002459268,0.000300804,0.0007325934,0.9506364,0.001956506,0.004843737],"genre_scores_gemma":[0.001124078,0.0009912564,0.0009350952,0.0001617072,0.0001288816,2.265243e-7,0.9956438,0.0008558498,0.0001590978],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04500741,"threshold_uncertainty_score":0.9999259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02953237090194037,"score_gpt":0.2540516455909249,"score_spread":0.2245192746889845,"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."}}