{"id":"W2622261466","doi":"10.3390/s17061336","title":"3D Printing-Based Integrated Water Quality Sensing System","year":2017,"lang":"en","type":"article","venue":"Sensors","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Volumetric flow rate; Conductivity; Water quality; Inlet; Materials science; Pressure sensor; Water flow; Flow sensor; Environmental science; Process engineering; Petroleum engineering; Environmental engineering; Mechanical engineering; Engineering; Chemistry; Acoustics; Mechanics","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":[],"consensus_categories":[],"category_scores_codex":[0.001145093,0.0001707566,0.0002329206,0.00009704749,0.0002921032,0.0002210752,0.0003544157,0.0001447998,0.0000558798],"category_scores_gemma":[0.0006711155,0.0001266758,0.00007173495,0.00005526586,0.0001757109,0.00005366533,0.0001090996,0.000404534,0.0005148683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000159899,"about_ca_system_score_gemma":0.00002358054,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003080601,"about_ca_topic_score_gemma":0.00002578144,"domain_scores_codex":[0.9983912,0.0001090233,0.0003078016,0.0002417014,0.0004035802,0.0005467572],"domain_scores_gemma":[0.9987029,0.0001246888,0.00004414782,0.0008527115,0.0001134405,0.0001620963],"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":[0.0001791042,0.0001274172,0.02571297,0.007025145,0.0006062526,0.0009723422,0.002237627,0.08519611,0.6021085,0.001329718,0.002096783,0.272408],"study_design_scores_gemma":[0.0005156064,0.00001574028,0.01097454,0.0003594859,0.00001163668,0.00001078488,0.0001829896,0.6821657,0.2925579,0.00002008469,0.01279487,0.0003907263],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9819434,0.000007552087,0.003157611,0.000232282,0.0005932382,0.000146821,0.000004586186,0.0007715674,0.01314296],"genre_scores_gemma":[0.996311,0.000001215303,0.00312576,0.00001447537,0.0001302255,0.0000020194,0.000007834742,0.00004619229,0.0003612823],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5969696,"threshold_uncertainty_score":0.6617762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03296611248915716,"score_gpt":0.30563964935577,"score_spread":0.2726735368666129,"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."}}