{"id":"W3154079940","doi":"10.20944/preprints202104.0502.v1","title":"Smartphone Screen Integrated Optical Breathalyzer","year":2021,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Advanced Chemical Sensor Technologies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal; Ministère des Ressources naturelles et des Forêts; Université Laval; Natural Sciences and Engineering Research Council of Canada","funders":"Canada First Research Excellence Fund; Université Laval","keywords":"Mobile phone; Computer science; Phone; Wearable computer; Simulation; Embedded system; Telecommunications","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":[0.0001632136,0.0004033114,0.0002922113,0.0002787657,0.0001493501,0.0004107767,0.0005705027,0.0005912962,0.01006945],"category_scores_gemma":[0.0003840491,0.0002329094,0.0002306905,0.000152988,0.0001293211,0.0004738051,0.0003832205,0.0002190539,0.001801173],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002230273,"about_ca_system_score_gemma":0.0001506981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009069904,"about_ca_topic_score_gemma":0.001947963,"domain_scores_codex":[0.9997321,0.00001921897,0.00001384963,0.00007336613,0.0001326148,0.0000288087],"domain_scores_gemma":[0.9996651,0.00006815731,0.00003436496,0.00005798288,0.0001493402,0.00002509784],"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":[0.0002314923,0.00006330445,0.001845886,0.000281651,0.00002782705,0.0003100115,0.00009089955,0.000211123,0.952681,0.0003832722,0.003632067,0.0402415],"study_design_scores_gemma":[0.00008556039,0.001534457,0.01953469,0.00005374942,0.0001323789,0.001928719,0.0001506307,0.01307039,0.9121104,0.0002101972,0.05110872,0.00008013958],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8070308,0.003656161,0.1470778,0.001201672,0.001108085,0.0007212728,0.003716763,0.009331337,0.02615617],"genre_scores_gemma":[0.8896941,0.0009575583,0.06853155,0.0006641105,0.00009448775,0.0001959959,0.0007766623,0.0002035774,0.03888193],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01006945,"threshold_uncertainty_score":0.03368568,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06581593117628694,"score_gpt":0.2975596673240863,"score_spread":0.2317437361477994,"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."}}