{"id":"W2960484385","doi":"10.1145/3356773.3356801","title":"The State and Future of Genetic Improvement","year":2019,"lang":"en","type":"article","venue":"ACM SIGSOFT Software Engineering Notes","topic":"Software Testing and Debugging Techniques","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Engineering and Physical Sciences Research Council","keywords":"Maintainability; Session (web analytics); State (computer science); Software; Software development","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":[0.01959934,0.000689171,0.001270456,0.00171587,0.001148602,0.005930414,0.002454713,0.00546558,0.008190845],"category_scores_gemma":[0.02717329,0.0003105442,0.000839098,0.002187032,0.01124138,0.01245566,0.002589423,0.004793149,0.001444002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003523149,"about_ca_system_score_gemma":0.003661742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003009684,"about_ca_topic_score_gemma":0.001651352,"domain_scores_codex":[0.9938791,0.003117293,0.0002043801,0.0008828726,0.001491466,0.0004249071],"domain_scores_gemma":[0.96983,0.02363801,0.000702733,0.002465341,0.002531929,0.0008319777],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002822594,0.0001701784,0.0011336,0.001066698,0.0000736603,0.0001093147,0.0008854394,0.007957859,0.000909805,0.528308,0.01954837,0.4395548],"study_design_scores_gemma":[0.00007394703,0.0002059064,0.0007931826,0.001134982,0.00003676779,0.0001585807,0.0005496959,0.007168289,0.0007456365,0.7096188,0.2794517,0.00006249875],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.01723628,0.6038074,0.08991433,0.2138776,0.003811648,0.00006234752,0.0002255197,0.0005736953,0.07049116],"genre_scores_gemma":[0.3508248,0.5006046,0.0880885,0.03507379,0.008761267,0.0003276089,0.0005307138,0.0003920387,0.01539661],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01959934,"threshold_uncertainty_score":0.1036525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006067583557949196,"score_gpt":0.2065227680716594,"score_spread":0.2004551845137102,"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."}}