{"id":"W2357824602","doi":"","title":"Telemetric Groundwater Information System on SMC-WT Short Message Control Unit","year":2005,"lang":"en","type":"article","venue":"","topic":"IoT-based Smart Home Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"CAE (Canada)","funders":"","keywords":"GSM; Groundwater; Anticipation (artificial intelligence); Transmission (telecommunications); Unit (ring theory); Environmental science; Computer science; Real-time computing; Engineering; Telecommunications; Geotechnical 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002738509,0.0002323984,0.0002625088,0.0003784993,0.0002106335,0.000336122,0.0004624085,0.0003588372,0.00417109],"category_scores_gemma":[0.0007073716,0.00009461804,0.0001003346,0.0002925098,0.0001463434,0.0004532576,0.0002386914,0.0002203684,0.001102005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002880968,"about_ca_system_score_gemma":0.0003071504,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001141976,"about_ca_topic_score_gemma":0.000880373,"domain_scores_codex":[0.9996587,0.00005144879,0.00002206244,0.00005869385,0.0001685047,0.00004063934],"domain_scores_gemma":[0.9995885,0.00007755975,0.00004781354,0.00006204105,0.0001882544,0.00003576297],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001757487,0.0003892443,0.0148776,0.0002955001,0.00004495979,0.0008422009,0.0005952133,0.006491425,0.2664504,0.008328508,0.01676181,0.6831657],"study_design_scores_gemma":[0.0006414892,0.004171437,0.04986789,0.0001834708,0.0002931604,0.00323548,0.0003551963,0.3890909,0.3379253,0.003180105,0.2109401,0.0001155182],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4972723,0.0006605776,0.4317998,0.0006039208,0.0004714495,0.0006099925,0.0006184072,0.01711141,0.05085221],"genre_scores_gemma":[0.9562982,0.0001000482,0.02937435,0.0001705373,0.00009643628,0.0001456231,0.0004058741,0.00005388459,0.01335498],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00417109,"threshold_uncertainty_score":0.01395375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007497949409833202,"score_gpt":0.1857637218561571,"score_spread":0.1782657724463239,"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."}}