{"id":"W2612480714","doi":"10.3390/s17051079","title":"GryphSens: A Smartphone-Based Portable Diagnostic Reader for the Rapid Detection of Progesterone in Milk","year":2017,"lang":"en","type":"article","venue":"Sensors","topic":"Biosensors and Analytical Detection","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Ministry of Agriculture, Food and Rural Affairs; Ontario Ministry of Research and Innovation; Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Agriculture, Food and Rural Affairs","keywords":"Software portability; Computer science; Android (operating system); Smartphone application; Raspberry pi; Embedded system; Usability; Mobile device; Computer hardware; Point-of-care testing; Operating system; Internet of Things; Multimedia; Medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001130505,0.001444868,0.001100152,0.001603972,0.0003083613,0.000578568,0.001993323,0.001688155,0.005493678],"category_scores_gemma":[0.002196368,0.0005609082,0.0006090367,0.0007253509,0.0004375963,0.0006836982,0.001031509,0.0008154658,0.003702277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003287666,"about_ca_system_score_gemma":0.0005609377,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007793586,"about_ca_topic_score_gemma":0.001589966,"domain_scores_codex":[0.9978053,0.000343488,0.0001708138,0.0004959884,0.001085678,0.0000987918],"domain_scores_gemma":[0.9991943,0.0002712387,0.0001684709,0.00009217358,0.0002032827,0.00007054662],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008244893,0.0001851245,0.002915346,0.002172103,0.0001432041,0.0007950067,0.000243431,0.0003906173,0.7480552,0.0008953315,0.01754305,0.2258372],"study_design_scores_gemma":[0.0003642067,0.002600972,0.02112452,0.0002568591,0.0004055623,0.01423371,0.0001451017,0.01805466,0.7785551,0.0007532137,0.1631655,0.0003405927],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2404789,0.04623028,0.6102755,0.002252292,0.003188283,0.004037166,0.009471368,0.05842501,0.02564116],"genre_scores_gemma":[0.3927893,0.01060741,0.5456461,0.002412932,0.0006523137,0.00204163,0.00522453,0.0008460502,0.03977972],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005493678,"threshold_uncertainty_score":0.01837814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01748282515039152,"score_gpt":0.2276014278519432,"score_spread":0.2101186027015517,"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."}}