{"id":"W2127190390","doi":"10.1145/1806799.1806856","title":"A degree-of-knowledge model to capture source code familiarity","year":2010,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":121,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; KPI-driven code analysis; Source code; Code (set theory); Code review; Software; Software development; Software quality; Value (mathematics); Software engineering; Programming language; Machine learning","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":[0.004485081,0.0007501792,0.0008051429,0.00540087,0.0008035325,0.003086769,0.001721339,0.001902116,0.003629721],"category_scores_gemma":[0.04729141,0.0005036572,0.00166885,0.004966784,0.001830336,0.0109658,0.002024462,0.002041344,0.001045186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002644339,"about_ca_system_score_gemma":0.001345117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008294485,"about_ca_topic_score_gemma":0.00773433,"domain_scores_codex":[0.9955903,0.001323885,0.0003383628,0.001282629,0.00107672,0.0003880768],"domain_scores_gemma":[0.952208,0.0355045,0.00368872,0.004685408,0.002963927,0.0009495137],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008240532,0.001129424,0.2048979,0.0006343042,0.0006281647,0.000522086,0.004865034,0.2600947,0.007315507,0.2145581,0.006109993,0.2984209],"study_design_scores_gemma":[0.00005066494,0.000213817,0.03468966,0.00006400186,0.000128311,0.0007691757,0.00044721,0.7991641,0.002188659,0.1567523,0.005425796,0.0001062922],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1443786,0.0003369983,0.8433385,0.0007033173,0.00004060739,0.0002348541,0.001054477,0.0006402464,0.00927245],"genre_scores_gemma":[0.8982233,0.0001277196,0.09856256,0.00007740273,0.00003573045,0.0002093434,0.0006783142,0.00006762926,0.002018014],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008294485,"threshold_uncertainty_score":0.02371967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0410042245034879,"score_gpt":0.2933640772734964,"score_spread":0.2523598527700086,"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."}}