{"id":"W7042473358","doi":"","title":"Preparing for a Digital Twin at Alfa Laval","year":2025,"lang":"en","type":"other","venue":"Lund University Publications Student Papers (Lund University)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Scheduling (production processes); Component (thermodynamics); Exploratory research; Key (lock); Factory (object-oriented programming); Data collection; Conceptual model","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001805026,0.0005398703,0.0003018743,0.0005390168,0.002959096,0.005272824,0.001573866,0.001802409,0.01782006],"category_scores_gemma":[0.004031708,0.000361091,0.0007600721,0.0006766068,0.001374407,0.004189712,0.0031854,0.001481191,0.003977911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005175783,"about_ca_system_score_gemma":0.008878859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02264191,"about_ca_topic_score_gemma":0.0352116,"domain_scores_codex":[0.9988703,0.0003860288,0.00004396406,0.0002174197,0.0002983805,0.0001838786],"domain_scores_gemma":[0.998611,0.0003853824,0.0001394521,0.0001395949,0.0003278112,0.0003967896],"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":[0.001543165,0.0008425031,0.02904827,0.001565009,0.00009635112,0.006814188,0.02048909,0.1556867,0.01344489,0.2286894,0.1828478,0.3589326],"study_design_scores_gemma":[0.0001418868,0.0007674923,0.007261847,0.0007269451,0.00005118613,0.001050549,0.04097454,0.06456308,0.009006381,0.03513987,0.8401555,0.0001606301],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.4293203,0.002768325,0.2481513,0.05577475,0.002110702,0.002072496,0.003070284,0.002003332,0.2547285],"genre_scores_gemma":[0.7075756,0.002275397,0.1431862,0.00138536,0.0001196131,0.0006610744,0.002258138,0.0002862965,0.1422523],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02264191,"threshold_uncertainty_score":0.05961406,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009029404151640708,"score_gpt":0.2246094751229868,"score_spread":0.2155800709713461,"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."}}