{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002114345,0.0001619349,0.0001340239,0.00002381212,0.0002546612,0.0001423235,0.0002832071,0.00009570879,0.0007302354],"category_scores_gemma":[0.00001807002,0.0001380772,0.00003317819,0.0001599277,0.0001093822,0.00058163,0.0005465989,0.0001152767,0.0005670185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003356569,"about_ca_system_score_gemma":0.000007115445,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001196005,"about_ca_topic_score_gemma":0.000006387831,"domain_scores_codex":[0.9985806,0.00001847391,0.0002586849,0.0003056091,0.0003711725,0.0004655055],"domain_scores_gemma":[0.9995408,0.00004707617,0.00005733663,0.00027049,0.0000108492,0.00007345818],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000004571395,0.00004332243,0.87279,0.000007875924,0.00002160578,0.000006704578,0.0004974129,0.0260865,0.08441556,0.0002108065,0.001235346,0.01468028],"study_design_scores_gemma":[0.000735803,0.0001575863,0.4202004,0.0002372297,0.00002877535,0.0000426283,0.004156242,0.06764252,0.5004002,0.003287597,0.001663346,0.001447623],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955766,0.000009968879,0.001560492,0.0002823288,0.0004845151,0.0002409052,4.645632e-7,0.0003044123,0.001540341],"genre_scores_gemma":[0.8784962,0.000003592414,0.1204535,0.00003694864,0.0002692334,0.00003167462,9.937245e-7,0.00001560082,0.0006922767],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4525896,"threshold_uncertainty_score":0.7995566,"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."}}