{"id":"W4396661961","doi":"10.1051/epjconf/202429508004","title":"AI4EIC Hackathon: PID with the ePIC dRICH","year":2024,"lang":"en","type":"article","venue":"EPJ Web of Conferences","topic":"Biomedical and Engineering Education","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"EPIC; PID controller; Computer science; Engineering; Art; 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":[0.00009007604,0.00007424624,0.00008239164,0.00004645762,0.00001602546,0.0000344781,0.0001183666,0.00003679076,0.0002842319],"category_scores_gemma":[0.00000627071,0.00004074013,0.00002000394,0.0002108427,0.00006601874,0.000047127,0.000007259668,0.0001125888,0.00004081329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007598358,"about_ca_system_score_gemma":0.0001276978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009092846,"about_ca_topic_score_gemma":0.0000144537,"domain_scores_codex":[0.9996073,0.000006530337,0.00008505567,0.00007648133,0.0001195506,0.0001050834],"domain_scores_gemma":[0.9997746,0.00006891658,0.000006718201,0.00009861494,0.00001818903,0.00003300814],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002324719,0.0001313653,0.003795258,0.005842931,0.0008650267,0.00003664378,0.007216716,0.007150099,0.02513142,0.252122,0.2451152,0.4525701],"study_design_scores_gemma":[0.0001540354,0.0001344222,0.01356917,0.0005087095,0.0000618335,0.00001755937,0.0005042343,0.09460071,0.006299688,0.001375495,0.8824581,0.0003160659],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8094319,0.0178823,0.02474306,0.01051869,0.004221935,0.0002672336,0.00001839729,0.001260617,0.1316559],"genre_scores_gemma":[0.9991089,0.0001664634,0.0001277224,0.00001555672,0.0001514747,0.00001280744,0.000004241975,0.000008623057,0.0004042601],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6373429,"threshold_uncertainty_score":0.311214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008304636717936699,"score_gpt":0.2038319374289537,"score_spread":0.195527300711017,"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."}}