{"id":"W2344645139","doi":"10.14288/1.0076365","title":"Telematics data-driven prognostics system for construction heavy equipment health monitoring and assessment","year":2015,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Engineering Diagnostics and Reliability","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Prognostics; Telematics; Computer science; Engineering; Systems engineering; Reliability engineering; Telecommunications","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":[0.0005420408,0.0005948319,0.0004967705,0.001095134,0.0002181776,0.0004435828,0.0008542744,0.0004616776,0.004757972],"category_scores_gemma":[0.001387422,0.0001810891,0.0002037185,0.0005515108,0.0001414258,0.0005254569,0.0004493231,0.0004103233,0.001294504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004913423,"about_ca_system_score_gemma":0.0005174059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001783429,"about_ca_topic_score_gemma":0.001755741,"domain_scores_codex":[0.9997235,0.00003759141,0.00002465547,0.00007508312,0.0001219318,0.00001719303],"domain_scores_gemma":[0.9992439,0.0001603758,0.0001238553,0.0001371542,0.0002895652,0.00004522098],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00191351,0.0006818228,0.04745081,0.0004858175,0.0001667902,0.0006491864,0.0004360176,0.1114579,0.08056471,0.003402193,0.02616367,0.7266275],"study_design_scores_gemma":[0.0001286982,0.0004942635,0.01613861,0.00005962524,0.00008125963,0.0003533519,0.0000657027,0.9277266,0.0407318,0.001884153,0.01227406,0.00006184011],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1378242,0.0003949665,0.8017563,0.0003312789,0.0002090749,0.0004050249,0.003683638,0.04989706,0.005498552],"genre_scores_gemma":[0.9270171,0.0001685132,0.06666967,0.0001693042,0.00006167495,0.0002900072,0.001980817,0.0001504855,0.003492417],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004757972,"threshold_uncertainty_score":0.015917,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02378521400790841,"score_gpt":0.2249664455094835,"score_spread":0.2011812315015751,"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."}}