{"id":"W2136235758","doi":"10.1109/coase.2005.1506763","title":"A scalable robotic-based laboratory automation system for medium-sized biotechnology laboratories","year":2005,"lang":"en","type":"article","venue":"","topic":"Biosensors and Analytical Detection","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Workcell; Automation; Laboratory automation; Throughput; Scalability; Flexibility (engineering); Embedded system; Computer science; Protocol (science); Footprint; Testbed; Workspace; Instrumentation (computer programming); Robot; Computer hardware; Engineering; Operating system; Artificial intelligence; Computer network; Mechanical 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":[0.0001273205,0.0001219461,0.0001822135,0.0001103379,0.00006655116,0.00003740974,0.00007060154,0.000241128,0.00003477389],"category_scores_gemma":[0.00005296815,0.0001083412,0.00004028834,0.0004220079,0.00003496923,0.0001143185,0.000005954927,0.0000887945,0.0000766001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001379954,"about_ca_system_score_gemma":0.00003841839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000417137,"about_ca_topic_score_gemma":0.00003469633,"domain_scores_codex":[0.9993264,0.00001239764,0.0002151949,0.0001396868,0.00009174698,0.0002145842],"domain_scores_gemma":[0.9995931,0.00005078204,0.00002389621,0.0001603635,0.0001159504,0.00005591047],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000687355,0.0001072107,0.00008328968,0.001552763,0.0001773736,0.000004353185,0.0000500371,0.2374896,0.6630296,0.06381461,0.0155843,0.01803817],"study_design_scores_gemma":[0.000332124,0.00002513568,0.00003698666,0.00001900423,0.00001605069,5.773286e-7,0.00004197442,0.56401,0.4221339,0.00002075856,0.01326171,0.000101764],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09014533,0.0005044888,0.8880277,0.006386045,0.001572399,0.0008522369,0.00009367807,0.01018811,0.002230045],"genre_scores_gemma":[0.979227,0.000007162928,0.02033154,0.00007475265,0.0001805738,0.00004570756,0.000008420175,0.00002708595,0.00009773111],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8890817,"threshold_uncertainty_score":0.4418027,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005499040246216279,"score_gpt":0.2009311932038232,"score_spread":0.1954321529576069,"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."}}