{"id":"W2465706857","doi":"","title":"Understanding open source software peer review: review processes, parameters and statistical models, and underlying behaviours and mechanisms","year":2011,"lang":"en","type":"dissertation","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Construct (python library); Computer science; Quality (philosophy); Code review; Data science; Technical peer review; Knowledge management; Software development; Software; Process management; Peer review; Engineering; Software quality; Political science","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.09172928,0.0009238815,0.001701154,0.009005629,0.001923354,0.0124196,0.003698812,0.00372194,0.002245528],"category_scores_gemma":[0.3742582,0.00168564,0.001377552,0.005185089,0.006686264,0.02215386,0.003138256,0.003390699,0.0009207188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007630798,"about_ca_system_score_gemma":0.00765396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01038905,"about_ca_topic_score_gemma":0.005934694,"domain_scores_codex":[0.9268476,0.04347261,0.004850192,0.008459267,0.01428678,0.002083452],"domain_scores_gemma":[0.3420029,0.5124867,0.07853323,0.02177079,0.04148668,0.003719642],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004409349,0.0008024062,0.2506283,0.002236252,0.0006885007,0.0006832845,0.02999089,0.1430223,0.005199166,0.3352279,0.006970875,0.2241092],"study_design_scores_gemma":[0.0001310044,0.0004637755,0.1168208,0.000869364,0.0002134382,0.0007941732,0.009713301,0.4940876,0.002895529,0.3599889,0.01353043,0.0004917227],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4152446,0.006883454,0.542907,0.01393337,0.0001728319,0.00136854,0.0005498382,0.001019301,0.0179211],"genre_scores_gemma":[0.9554334,0.001494815,0.04048635,0.0002567819,0.0001304082,0.0005170227,0.0002044834,0.000109518,0.001367258],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9082707,"threshold_uncertainty_score":0.4851166,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2386259524335221,"score_gpt":0.3682197459404964,"score_spread":0.1295937935069744,"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."}}