{"id":"W3002429683","doi":"10.3390/app10030814","title":"EvoBot: An Open-Source, Modular, Liquid Handling Robot for Scientific Experiments","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Modular Robots and Swarm Intelligence","field":"Engineering","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"H2020 Future and Emerging Technologies","keywords":"Modular design; Modularity (biology); Reuse; Computer science; Robot; Self-reconfiguring modular robot; Key (lock); Open source; Human–computer interaction; Simple (philosophy); Systems engineering; Engineering; Artificial intelligence; Software; Mobile robot; Operating system; Robot control","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":["open_science"],"consensus_categories":[],"category_scores_codex":[0.0007792313,0.0008286542,0.0006771539,0.0007448306,0.0004455918,0.0005549444,0.001646793,0.0009780788,0.007084984],"category_scores_gemma":[0.001473471,0.0004692186,0.0005920319,0.0003298916,0.0007828127,0.001202127,0.001618527,0.001031169,0.002922306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002598416,"about_ca_system_score_gemma":0.000578278,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004312086,"about_ca_topic_score_gemma":0.0005061228,"domain_scores_codex":[0.9991708,0.00007331494,0.00003652791,0.0001078106,0.0005237931,0.00008775386],"domain_scores_gemma":[0.9993908,0.0001440015,0.00009618207,0.0001010095,0.0001484715,0.000119499],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008585107,0.0003469407,0.001907137,0.001640172,0.00009759265,0.0006215183,0.0003536117,0.01819157,0.6859185,0.009945151,0.02388287,0.2562364],"study_design_scores_gemma":[0.0003381475,0.001820133,0.005561523,0.0003315296,0.0001215493,0.00183984,0.0001557832,0.1174827,0.4735627,0.005914246,0.3925513,0.0003205555],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03083493,0.0007504454,0.9268007,0.0002337285,0.0003204055,0.0005554758,0.0007074095,0.03069335,0.009103445],"genre_scores_gemma":[0.2144929,0.0007674095,0.7634047,0.0003789736,0.00007764484,0.001358985,0.002518672,0.003023923,0.01397675],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9983532,"threshold_uncertainty_score":0.02370167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1012355455352877,"score_gpt":0.3044388390316984,"score_spread":0.2032032934964106,"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."}}