{"id":"W39804063","doi":"10.1016/j.aei.2009.11.001","title":"Enabling technologies for collaborative design","year":2009,"lang":"en","type":"article","venue":"Advanced Engineering Informatics","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Computer science; Collaborative design; Systems engineering; Engineering; Human–computer interaction; Software engineering; Systems design","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":[0.00006442976,0.0001548797,0.0001421433,0.0001249653,0.00004718898,0.00004497448,0.0001188872,0.0000789339,0.000001302021],"category_scores_gemma":[0.00006053784,0.0001558411,0.0000237286,0.0002270928,0.000006183472,0.0004500576,0.000007305078,0.0000946095,0.000003222676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004733986,"about_ca_system_score_gemma":0.00000890037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":3.077066e-8,"about_ca_topic_score_gemma":3.695333e-8,"domain_scores_codex":[0.9993852,9.221056e-7,0.0002515017,0.00005184745,0.00007336037,0.0002371702],"domain_scores_gemma":[0.9996921,0.00005068808,0.00003518861,0.0001334879,0.00006213386,0.00002639046],"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":[0.000003770788,0.000002405553,2.615233e-7,0.0001140091,0.000008125073,1.633616e-7,0.0003661831,0.9405957,0.0003037855,0.0009632339,0.00006953337,0.05757286],"study_design_scores_gemma":[0.0002816186,0.00006651619,0.000007445939,0.00004950704,0.000006942444,0.000001492624,0.0002687275,0.9195212,0.05721165,0.0004074974,0.02195188,0.0002255636],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001041761,0.0004226908,0.995691,0.00002280794,0.0001487236,0.0003266978,0.000005623981,0.001922138,0.0004185627],"genre_scores_gemma":[0.286504,0.000439384,0.712895,0.00002352781,0.00001901639,0.00006622617,0.00001361999,0.00002242486,0.00001680609],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2854622,"threshold_uncertainty_score":0.6355017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008001104381723028,"score_gpt":0.2034283730975592,"score_spread":0.1954272687158361,"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."}}