{"id":"W2883986603","doi":"10.1145/3196398.3196438","title":"CLEVER","year":2018,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University; Ubisoft (Canada)","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Commit; Computer science; Leverage (statistics); Reuse; Process (computing); Metric (unit); Software; Software maintenance; Software engineering; Software bug; Field (mathematics); Software development; Artificial intelligence; Database; Programming language; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003915923,0.002572971,0.001584704,0.004010933,0.001581015,0.004069333,0.003609729,0.003626174,0.1150573],"category_scores_gemma":[0.02545257,0.001111689,0.001728533,0.002687617,0.0009588773,0.005045115,0.003480572,0.002747648,0.08731185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001171295,"about_ca_system_score_gemma":0.002498338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003282312,"about_ca_topic_score_gemma":0.006928536,"domain_scores_codex":[0.9930922,0.00174469,0.0005041842,0.001918201,0.002161442,0.0005791696],"domain_scores_gemma":[0.9868433,0.005490603,0.0005885636,0.004441601,0.002201234,0.0004347517],"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":[0.0004681115,0.000239403,0.002977611,0.00107471,0.000114919,0.0002880361,0.0002390175,0.006769877,0.002571391,0.01551232,0.6362502,0.3334944],"study_design_scores_gemma":[0.0003284152,0.0002411512,0.002509158,0.0003274787,0.00008496228,0.001255864,0.0003112891,0.1091112,0.01186115,0.03603477,0.8377776,0.0001568539],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.02382096,0.004119874,0.4060576,0.005619027,0.003891587,0.002089881,0.04327318,0.3083262,0.2028017],"genre_scores_gemma":[0.1654583,0.001729622,0.4996501,0.006042838,0.0007904398,0.001376716,0.1386601,0.04358937,0.1427025],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8849427,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02048636646562555,"score_gpt":0.276926340176175,"score_spread":0.2564399737105494,"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."}}