{"id":"W2211314646","doi":"10.1007/978-3-319-12892-4_6","title":"Distributed Intelligent Monitoring System for Water Environment","year":2015,"lang":"en","type":"book-chapter","venue":"Smart sensors, measurement and instrumentation","topic":"Water Quality Monitoring Technologies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Terminal (telecommunication); Environmental monitoring; Real-time computing; Transmission (telecommunications); Computer science; Water quality; Data transmission; Data acquisition; Global Positioning System; Embedded system; Engineering; Computer hardware; Telecommunications; Operating system; Environmental engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009225963,0.0004713001,0.0003784773,0.00008823914,0.0002328458,0.00008338846,0.0002133315,0.0003141897,0.0000959313],"category_scores_gemma":[0.00002094076,0.000393088,0.0001038422,0.00001805454,0.0001906091,0.0002031531,0.0002936318,0.0002116161,0.0003271496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002684064,"about_ca_system_score_gemma":0.00001215419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001266489,"about_ca_topic_score_gemma":0.00001215054,"domain_scores_codex":[0.9971767,0.00003809839,0.0005880374,0.0006498484,0.00113296,0.000414341],"domain_scores_gemma":[0.9991658,0.0000166736,0.0002251217,0.0004068035,0.00004597598,0.0001395752],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002185693,0.0008455098,0.1208443,0.004380879,0.003946556,0.000124155,0.02277544,0.006865624,0.3285773,0.02125335,0.04637794,0.4418232],"study_design_scores_gemma":[0.001726621,0.0006536316,0.00183114,0.0006949983,0.0004807962,0.00001949284,0.001779198,0.0001427993,0.4732237,0.006868763,0.510984,0.001594894],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9166852,0.001650968,0.008331467,0.002262817,0.01005271,0.01179249,0.0008318674,0.002451238,0.04594123],"genre_scores_gemma":[0.9813832,0.0002164356,0.002411879,0.000008518839,0.0003595635,0.0001922499,0.0004495314,0.0001105581,0.01486808],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4646061,"threshold_uncertainty_score":0.9998521,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1016532699916677,"score_gpt":0.250036305708805,"score_spread":0.1483830357171373,"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."}}