{"id":"W2021776538","doi":"10.1109/iwcmc.2013.6583759","title":"Monitoring operational mining equipment using Sprouts Wireless Sensor Network platform","year":2013,"lang":"en","type":"article","venue":"","topic":"Water Quality Monitoring Technologies","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Energy; Queen's University","funders":"","keywords":"Shovel; Trilateration; Computer science; Modular design; Real-time computing; Engineering; Automotive engineering; Node (physics); Operating system; Mechanical engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0001752449,0.0003221305,0.0001783079,0.0003445845,0.0001747682,0.0002686841,0.000451847,0.000180489,0.0006887488],"category_scores_gemma":[0.0002638245,0.0001156222,0.00008880282,0.0002168759,0.0001342255,0.0004532026,0.0003554551,0.000155044,0.0001689779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002849729,"about_ca_system_score_gemma":0.000400608,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00380359,"about_ca_topic_score_gemma":0.008962474,"domain_scores_codex":[0.9997821,0.00002069003,0.000008690561,0.0000419317,0.0001236989,0.00002278214],"domain_scores_gemma":[0.9998159,0.00003102955,0.00004269645,0.00001751574,0.00007292895,0.00002004194],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004017811,0.0001628226,0.01986032,0.0002065583,0.00004233508,0.0006335784,0.0002929437,0.06945138,0.6965852,0.001057488,0.002723946,0.2085817],"study_design_scores_gemma":[0.00007231918,0.001305258,0.03627174,0.00004658354,0.00008921043,0.0007274213,0.0004978511,0.5157283,0.4179205,0.0009982556,0.02627792,0.00006457567],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7074543,0.0002258025,0.2781068,0.000257804,0.00006146527,0.0002661967,0.0003384471,0.003975224,0.009313772],"genre_scores_gemma":[0.9479042,0.0001573997,0.04696351,0.00005498377,0.00001670385,0.00007446345,0.000237231,0.00003144207,0.004560111],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00380359,"threshold_uncertainty_score":0.007562876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06587521878989205,"score_gpt":0.2769491543882426,"score_spread":0.2110739355983505,"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."}}