{"id":"W2010970152","doi":"10.1016/s0142-694x(00)00014-4","title":"Models for estimating design effort and time","year":2001,"lang":"en","type":"article","venue":"Design Studies","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":83,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Schedule; Decomposition; Product (mathematics); Estimation; Process (computing); Industrial engineering; Cost estimate; Operations research; Engineering; Parametric statistics; Design process; Computer science; Systems engineering; Reliability engineering; Operations management; Work in process; Mathematics","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":[0.006786341,0.00214703,0.001406397,0.00301171,0.0003976145,0.001867967,0.002242918,0.002236616,0.00436468],"category_scores_gemma":[0.03120487,0.001485978,0.001722979,0.002985192,0.0008238539,0.002463007,0.0008104278,0.001561729,0.001080298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002089781,"about_ca_system_score_gemma":0.001314656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.011418,"about_ca_topic_score_gemma":0.01317794,"domain_scores_codex":[0.997074,0.00168498,0.0001293097,0.0004104351,0.0005159702,0.0001852338],"domain_scores_gemma":[0.9736376,0.02300253,0.001385307,0.001025107,0.0007819991,0.0001675159],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006394066,0.00004938859,0.001390604,0.00005846165,0.00005751853,0.00001467942,0.00002563451,0.9640574,0.0002345958,0.008393947,0.0005667484,0.02508707],"study_design_scores_gemma":[0.00001265587,0.00002914121,0.0005092069,0.00001504124,0.00003862786,0.00001157004,0.000008202429,0.9891194,0.0002037644,0.009359075,0.0006851762,0.000008163472],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02692747,0.0008850817,0.9685046,0.0002186821,0.00002925217,0.00009106173,0.0004864541,0.0004176406,0.002439803],"genre_scores_gemma":[0.6230357,0.00264167,0.3568806,0.0001632359,0.0001116849,0.001019234,0.002363735,0.0003117356,0.01347229],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.011418,"threshold_uncertainty_score":0.03589004,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0677622360687686,"score_gpt":0.264532339000189,"score_spread":0.1967701029314204,"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."}}