{"id":"W2501210632","doi":"10.4018/978-1-4666-0176-5.ch001","title":"Prototyping Robotic Systems","year":2012,"lang":"en","type":"book-chapter","venue":"Advances in computational intelligence and robotics book series","topic":"Collaboration in agile enterprises","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Commercialization; Rapid prototyping; Context (archaeology); Engineering; Process (computing); Engineering management; Computer science; Perception; Knowledge management; Process management; Software engineering; Engineering ethics; Systems engineering; Business; Psychology; Mechanical engineering; Marketing","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001564055,0.0003659783,0.0004041386,0.0003745644,0.0001821074,0.0003284184,0.0002047874,0.0001543531,0.0001549185],"category_scores_gemma":[0.00004436292,0.0003705242,0.00005352737,0.0001171343,0.0002421032,0.003904667,0.0001846515,0.0002782205,0.0002063277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007125079,"about_ca_system_score_gemma":0.0000528722,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001168161,"about_ca_topic_score_gemma":0.00005290688,"domain_scores_codex":[0.9983893,0.00000673451,0.0006211752,0.0003782911,0.0003444374,0.0002600676],"domain_scores_gemma":[0.9988754,0.0001630556,0.000425741,0.0001652433,0.0003495238,0.00002106685],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000151792,0.000009199723,0.0001647236,0.0003091123,0.00001125265,0.000005279844,0.00002089026,0.50128,9.233506e-8,0.4952177,0.00006816943,0.002898395],"study_design_scores_gemma":[0.00008932142,0.00002598182,0.00004075411,0.00132738,0.00006291331,0.00002186448,0.0001510428,0.05629393,0.000001606519,0.2576074,0.6836775,0.0007002873],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000003345591,0.1731558,0.3889971,0.001134354,0.004069972,0.002532049,0.00001597172,0.0002883979,0.429803],"genre_scores_gemma":[0.1889236,0.1485145,0.04704777,0.00757421,0.01834974,0.001122252,0.001617582,0.001007698,0.5858427],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6836093,"threshold_uncertainty_score":0.9998747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02458252989495613,"score_gpt":0.259494564140431,"score_spread":0.2349120342454749,"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."}}