{"id":"W3213614429","doi":"10.5281/zenodo.3514322","title":"Broken rotor bar dataset information","year":2019,"lang":"en","type":"dataset","venue":"Figshare","topic":"Oil and Gas Production Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Bar (unit); Rotor (electric); Computer science; Geography; Engineering; 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":[0.001110317,0.002522325,0.001384182,0.003663206,0.001184173,0.002154148,0.003344827,0.003099099,0.08659406],"category_scores_gemma":[0.005960122,0.0005709447,0.001720036,0.004642919,0.0005421147,0.001972276,0.002067739,0.002418518,0.1654082],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001246858,"about_ca_system_score_gemma":0.002014271,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01307318,"about_ca_topic_score_gemma":0.02681566,"domain_scores_codex":[0.9985203,0.0002000079,0.0001875442,0.0004839415,0.0003927671,0.0002153295],"domain_scores_gemma":[0.9977739,0.0004839719,0.00015164,0.0007392172,0.0006684668,0.0001827873],"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":[0.00007142282,0.00004248147,0.0005877945,0.0005194335,0.00002320965,0.00003491982,0.00001325313,0.0003835574,0.0002016364,0.0004019166,0.9934593,0.004260922],"study_design_scores_gemma":[0.0001904714,0.00004805897,0.004048759,0.0002604652,0.00003607413,0.0001322051,0.00006606918,0.00135409,0.0007358196,0.001737068,0.991347,0.00004394538],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002245474,0.0001101142,0.0002100578,0.00008140047,0.00007416236,0.00002422001,0.9971191,0.0009630324,0.001193427],"genre_scores_gemma":[0.0003524306,0.00004313112,0.0003773625,0.00004432553,0.000007141992,0.00006221736,0.9983916,0.00006737118,0.0006543634],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08659406,"threshold_uncertainty_score":0.289686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02031526344691676,"score_gpt":0.2380169752567285,"score_spread":0.2177017118098117,"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."}}