{"id":"W91382638","doi":"","title":"Evaluating the Evolution of Small Scale Open Source Software Systems","year":2005,"lang":"en","type":"article","venue":"","topic":"Open Source Software Innovations","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Software evolution; Computer science; Software system; Software development; Software engineering; Adaptation (eye); Software; Social software engineering; Software construction; Operating system","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":[0.003775213,0.0003482679,0.0002822514,0.002474289,0.0004782843,0.001137231,0.0005831462,0.0005617164,0.0007321255],"category_scores_gemma":[0.03112416,0.0001724127,0.0002989111,0.001442307,0.0006631596,0.001757258,0.0006946367,0.0005804783,0.0001477164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001609941,"about_ca_system_score_gemma":0.0005705525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004526435,"about_ca_topic_score_gemma":0.004383004,"domain_scores_codex":[0.9969997,0.0007979811,0.0001980818,0.0003622408,0.001483903,0.0001581366],"domain_scores_gemma":[0.9701675,0.01915365,0.003102314,0.001419309,0.00523361,0.0009237435],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001190132,0.00159064,0.4460967,0.0006310521,0.0004138548,0.001302065,0.002706674,0.2634504,0.05309516,0.009877335,0.001203666,0.2184423],"study_design_scores_gemma":[0.00004914567,0.001952711,0.2850646,0.0000416072,0.0001084774,0.0003507384,0.001307581,0.6821848,0.02215203,0.004844085,0.00188059,0.00006352926],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940706,0.00009240737,0.004100665,0.0000371389,0.000005535851,0.00007648758,0.00007571914,0.00005349174,0.001487883],"genre_scores_gemma":[0.9935451,0.00006528565,0.005453632,0.00000904108,0.000004056019,0.00003744983,0.0002848119,0.0000202073,0.0005806069],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004526435,"threshold_uncertainty_score":0.01996547,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06340574807784637,"score_gpt":0.3297510980338855,"score_spread":0.2663453499560391,"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."}}