{"id":"W4398913801","doi":"10.7910/dvn/sbqlva","title":"Replication Data and Code for: Sensor Selection and State Estimation of Continuous mAb Production Processes","year":2023,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Replication (statistics); Code (set theory); Computer science; State (computer science); Selection (genetic algorithm); Production (economics); Estimation; Programming language; Biology; Artificial intelligence; Engineering; Virology; Economics","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":[],"consensus_categories":[],"category_scores_codex":[0.002261807,0.004142758,0.002004774,0.003123834,0.001121976,0.00255191,0.004980833,0.005107692,0.05115483],"category_scores_gemma":[0.01351563,0.001311557,0.003284049,0.005314819,0.0007537371,0.001326811,0.001852908,0.002376185,0.06164465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002297974,"about_ca_system_score_gemma":0.00437226,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05548469,"about_ca_topic_score_gemma":0.07857571,"domain_scores_codex":[0.9974469,0.000403477,0.0003327205,0.0007189528,0.0008000348,0.0002980181],"domain_scores_gemma":[0.993569,0.002314689,0.0005425809,0.001993587,0.001287312,0.0002927829],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000233874,0.00007798212,0.001452613,0.001937942,0.0001248556,0.00004604452,0.00002681234,0.003003289,0.000298371,0.000534035,0.9876536,0.004610523],"study_design_scores_gemma":[0.002457414,0.0001396883,0.009450516,0.001071652,0.0002792716,0.0001478887,0.0001078541,0.009682516,0.002401681,0.006045861,0.9680453,0.0001702341],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002644004,0.0001356566,0.0002209312,0.00008930737,0.00004448539,0.00002936575,0.9977678,0.0009387965,0.0005093093],"genre_scores_gemma":[0.0009765915,0.0001053868,0.0007737109,0.00007510582,0.00001028582,0.0001363246,0.997323,0.0001178187,0.0004817428],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05548469,"threshold_uncertainty_score":0.17113,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01891575139885793,"score_gpt":0.2587789863479882,"score_spread":0.2398632349491303,"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."}}