{"id":"W2129414299","doi":"10.1145/1370175.1370194","title":"Jigsaw","year":2008,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Reuse; Computer science; Code reuse; Jigsaw; Source code; KPI-driven code analysis; Context (archaeology); Code review; Code (set theory); Software engineering; Overhead (engineering); Software quality; Open source; Database; Software; Programming language; Software development; Engineering; Set (abstract data type)","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":[0.00262818,0.002100426,0.0007851035,0.00178415,0.001366298,0.002348154,0.002859652,0.001490694,0.01879206],"category_scores_gemma":[0.007559802,0.00202684,0.00172539,0.001075261,0.0009507386,0.003177752,0.003455347,0.00307992,0.0106512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005730166,"about_ca_system_score_gemma":0.002739859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002680835,"about_ca_topic_score_gemma":0.004596588,"domain_scores_codex":[0.9977604,0.0002998794,0.0002122326,0.0004613123,0.001066115,0.0002001239],"domain_scores_gemma":[0.9955537,0.001433296,0.0003080085,0.001419627,0.0009582032,0.0003271549],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006098917,0.0003659735,0.00403357,0.00222521,0.0003007545,0.0006580451,0.001769199,0.009208268,0.04209833,0.03354396,0.3568593,0.5483276],"study_design_scores_gemma":[0.0002606879,0.0002585448,0.002439423,0.0003152394,0.0001740801,0.0008843087,0.0001297125,0.03047448,0.03252697,0.03681818,0.8955442,0.0001742639],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.007450643,0.001278644,0.6335956,0.0007610563,0.0007880987,0.0005724918,0.002582297,0.3258359,0.02713525],"genre_scores_gemma":[0.06151033,0.001706283,0.7970752,0.001175999,0.0002395821,0.001042736,0.01379406,0.06200595,0.06144988],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.01879206,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02905687703687048,"score_gpt":0.2535442770321326,"score_spread":0.2244873999952621,"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."}}