{"id":"W2934438104","doi":"10.48550/arxiv.1904.01001","title":"Estimation and Prediction of technical debt: a proposal","year":2019,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Software Engineering Research","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Thompson Rivers University","funders":"","keywords":"Technical debt; Debt; Bankruptcy; Computer science; Payment; Software; Relevance (law); Risk analysis (engineering); Software development; Business; Finance; World Wide Web","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":[0.004818619,0.002043004,0.001301169,0.005838502,0.000747475,0.005870359,0.002727436,0.002701394,0.004849582],"category_scores_gemma":[0.02263796,0.0008765854,0.001766978,0.005636577,0.001157624,0.007893239,0.002802177,0.002923745,0.002794229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001376593,"about_ca_system_score_gemma":0.003254697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008675899,"about_ca_topic_score_gemma":0.002702282,"domain_scores_codex":[0.9960926,0.001251359,0.0002918212,0.001176633,0.0008993605,0.0002881863],"domain_scores_gemma":[0.9849626,0.00756743,0.001755003,0.001142333,0.003935559,0.0006371011],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002990093,0.001194439,0.1447256,0.001585491,0.0004348768,0.001088156,0.001278731,0.08972784,0.002637977,0.07088711,0.03140705,0.6547338],"study_design_scores_gemma":[0.00006237518,0.0003451078,0.02881094,0.0009034296,0.0002849567,0.0007230526,0.00133538,0.8499578,0.001880606,0.08449386,0.03095371,0.0002488057],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0482672,0.01358244,0.9001219,0.01697305,0.001144323,0.0007920954,0.001924187,0.002185943,0.01500889],"genre_scores_gemma":[0.5429418,0.02059915,0.4108285,0.001727167,0.002996985,0.001568462,0.005133884,0.0002456826,0.01395845],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008675899,"threshold_uncertainty_score":0.02548361,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0417757962599083,"score_gpt":0.1953028699538562,"score_spread":0.1535270736939479,"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."}}