{"id":"W6993122220","doi":"","title":"E-PIC","year":2016,"lang":"en","type":"article","venue":"KTH Publication Database DiVA (KTH Royal Institute of Technology)","topic":"Mechanical Engineering and Vibrations Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Scale (ratio); Powertrain; Emerging technologies; Truck; Quarter (Canadian coin)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004866547,0.0006926681,0.000465233,0.001488317,0.001562809,0.003767955,0.001024969,0.001199475,0.623664],"category_scores_gemma":[0.002031669,0.0003324286,0.0003454064,0.001921929,0.0003854706,0.002448554,0.003425658,0.0008823377,0.4883524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007541656,"about_ca_system_score_gemma":0.001240639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002992725,"about_ca_topic_score_gemma":0.004668645,"domain_scores_codex":[0.9993519,0.00004680634,0.00003705512,0.0001304646,0.000302279,0.0001315446],"domain_scores_gemma":[0.9989298,0.00007312285,0.00003906742,0.0002088186,0.000440698,0.0003084388],"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":[0.0002323093,0.0001286946,0.003432309,0.0004172958,0.000009941951,0.0005782495,0.000471727,0.000183891,0.001493398,0.01377588,0.7080994,0.271177],"study_design_scores_gemma":[0.000006367827,0.00002223599,0.00166456,0.00005225406,0.000003091155,0.0003340959,0.0001683494,0.0001072787,0.0003212074,0.000615487,0.9966984,0.000006559334],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004680639,0.0008352939,0.002820838,0.0008539374,0.0008912219,0.0001646934,0.00560627,0.003350688,0.9807965],"genre_scores_gemma":[0.01846125,0.0008339964,0.002131315,0.0005945971,0.0001676004,0.00008821897,0.008144659,0.0008320817,0.9687464],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.376336,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01880072740111903,"score_gpt":0.2527313887367564,"score_spread":0.2339306613356373,"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."}}