{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001072212,0.0006606561,0.0007891467,0.0001545147,0.00004527513,0.00004505034,0.001006585,0.001132575,0.001087171],"category_scores_gemma":[0.0005724569,0.0006940874,0.0002929408,0.0003273064,0.0002180226,0.0001118834,0.002461749,0.002704781,0.001027417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004325623,"about_ca_system_score_gemma":0.00002989975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007112753,"about_ca_topic_score_gemma":0.00001769264,"domain_scores_codex":[0.9972712,0.00003289825,0.000615038,0.001068861,0.0003548005,0.0006571876],"domain_scores_gemma":[0.9974564,0.0001043616,0.00008852452,0.001988339,0.00017022,0.000192143],"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":[0.00003198516,0.0001570359,0.04985454,0.0004479738,0.0006153236,0.0003076761,0.0002294524,0.03994149,0.8992975,0.0002390518,0.0002725926,0.008605424],"study_design_scores_gemma":[0.0002451372,0.000005410049,0.02341857,0.0002980209,0.00006863957,0.00003182617,0.0001555209,0.001871078,0.9695041,0.001126803,0.002490059,0.0007848519],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.973998,0.0005626658,0.003919552,0.0001676107,0.0005847665,0.0003460248,0.00004551913,0.004341858,0.01603399],"genre_scores_gemma":[0.9921984,0.0004898953,0.006083351,0.0000363062,0.0001316646,0.0001309349,0.0002380668,0.0001511329,0.0005402504],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07020663,"threshold_uncertainty_score":0.999826,"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."}}