{"id":"W4393556062","doi":"10.5281/zenodo.3514321","title":"Broken rotor bar dataset information","year":2019,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Oil and Gas Production Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Bar (unit); Rotor (electric); Computer science; Engineering; Geography; Mechanical engineering; Meteorology","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":[0.001283635,0.002873185,0.001562485,0.003445577,0.001300638,0.002236497,0.003571529,0.003344137,0.06620825],"category_scores_gemma":[0.005742664,0.0006037267,0.001794882,0.00413241,0.0006136488,0.002023177,0.002201026,0.002686513,0.1510363],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00130249,"about_ca_system_score_gemma":0.002088141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01238787,"about_ca_topic_score_gemma":0.02538393,"domain_scores_codex":[0.9981711,0.0002532998,0.0002168986,0.0005980299,0.0005019734,0.0002585796],"domain_scores_gemma":[0.9978361,0.0004001825,0.0001447435,0.00076538,0.0006688349,0.0001847619],"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":[0.00009163588,0.00005917529,0.0006709473,0.0004964253,0.00002861637,0.00004458346,0.00001423488,0.0004429451,0.0002653641,0.00043101,0.99234,0.005115123],"study_design_scores_gemma":[0.0002250979,0.0000687106,0.004798178,0.0002777347,0.00004546546,0.0001991674,0.00008019305,0.001913656,0.001048457,0.001897168,0.9893932,0.00005288844],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003732258,0.0001740938,0.0003111879,0.0001037932,0.0001174321,0.00003718875,0.9961506,0.00124589,0.001486573],"genre_scores_gemma":[0.0004264448,0.00004643037,0.0004173024,0.00004741946,0.000008816882,0.00006621787,0.9982224,0.00006464132,0.0007002797],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06620825,"threshold_uncertainty_score":0.2214887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02131690527590412,"score_gpt":0.2297212105421438,"score_spread":0.2084043052662397,"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."}}