{"id":"W1967875050","doi":"10.1145/1159733.1159746","title":"A comparative study of attribute weighting heuristics for effort estimation by analogy","year":2006,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Analogy; Heuristics; Weighting; Computer science; Estimation; Artificial intelligence; Data mining; Engineering; Epistemology; Philosophy; Systems engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002355704,0.00007357753,0.0001699466,0.00008491858,0.00005199098,0.00003504678,0.0003159328,0.00002320249,0.000002310705],"category_scores_gemma":[0.0001069408,0.00006689913,0.00002176194,0.0003010679,0.0000153849,0.0001093492,0.00008480553,0.00005299454,0.000003627615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003205884,"about_ca_system_score_gemma":0.00001963084,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001423488,"about_ca_topic_score_gemma":0.00002130849,"domain_scores_codex":[0.9991853,0.00001813869,0.0002127593,0.0001884487,0.000216618,0.0001787809],"domain_scores_gemma":[0.9988465,0.0007456352,0.0000529942,0.0001861679,0.0001407606,0.00002794142],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006150168,0.004508015,0.4884555,0.0003251139,0.000319064,0.0000239676,0.005265656,0.291644,0.006620633,0.06736395,0.1265086,0.008903944],"study_design_scores_gemma":[0.0006970703,0.0005281222,0.05986433,0.000006483635,0.000006430639,0.000002106317,0.00005239015,0.9324074,0.00546085,0.0006543855,0.0002036194,0.0001167708],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3667241,0.00001340246,0.6328321,0.00002090781,0.00003441807,0.000250499,0.000003607676,0.00007383076,0.00004710703],"genre_scores_gemma":[0.9056969,1.386907e-7,0.09411582,0.000003654709,0.000015838,0.00003280694,0.000009856477,0.000004016798,0.0001210178],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6407634,"threshold_uncertainty_score":0.2728067,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02688793323132183,"score_gpt":0.3138445283460533,"score_spread":0.2869565951147315,"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."}}