{"id":"W2907466780","doi":"10.1109/icsens.2018.8589802","title":"Low-Cost 3D-Printed Wireless Soil Moisture Sensor","year":2018,"lang":"en","type":"article","venue":"","topic":"Soil Moisture and Remote Sensing","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Water content; Moisture; Environmental science; Antenna (radio); Remote sensing; Fabrication; Wireless; Wireless sensor network; Soil moisture sensor; Altitude (triangle); Computer science; Electronic engineering; Engineering; Materials science; Geology; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00009572208,0.0001563776,0.0001314352,0.00002065581,0.0001728956,0.00003473155,0.0001635444,0.0001117667,0.001159937],"category_scores_gemma":[0.0000203019,0.0001147538,0.00005388863,0.0002066897,0.0003500287,0.00008570408,0.0001580448,0.0001424553,0.004898614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008756563,"about_ca_system_score_gemma":0.000006933115,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002013231,"about_ca_topic_score_gemma":0.01180423,"domain_scores_codex":[0.9988986,0.00003084943,0.0001484103,0.0003439224,0.000252309,0.0003258723],"domain_scores_gemma":[0.9994584,0.00002571063,0.00004203788,0.0003368607,0.00001550382,0.000121507],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00007398082,0.0002224635,0.06613436,0.00001557135,0.00004541394,0.00009403403,0.001750835,0.0001930683,0.1893222,0.0001078762,0.05142199,0.6906183],"study_design_scores_gemma":[0.0007807669,0.0001000492,0.6284493,0.00005166268,0.00003362608,0.000107796,0.0006022672,0.00817762,0.2748924,0.0002071904,0.08585849,0.0007388271],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5947624,0.000002631182,0.001090928,0.0003666934,0.0002980954,0.0001043909,4.18796e-7,0.0001015937,0.4032729],"genre_scores_gemma":[0.9849133,0.000004920872,0.001752749,0.001540049,0.0003197118,5.259734e-7,0.000003021994,0.00001946354,0.01144629],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6898794,"threshold_uncertainty_score":0.9997531,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008018933679582844,"score_gpt":0.2219584246686511,"score_spread":0.2139394909890683,"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."}}