{"id":"W4416926420","doi":"10.1145/3770678","title":"MobiLyzer: Fine-grained Mobile Liquid Analyzer","year":2025,"lang":"en","type":"article","venue":"Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies","topic":"Spectroscopy and Chemometric Analyses","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"RGB color model; Robustness (evolution); Mobile device; Interference (communication); Spectral imaging; Hyperspectral imaging; Spectral signature","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":[0.0003517951,0.001177134,0.0007208239,0.001083417,0.0003137857,0.001012274,0.001616757,0.0008266014,0.01072031],"category_scores_gemma":[0.001395152,0.0005097477,0.000485966,0.0005415234,0.000329304,0.001400156,0.001432456,0.000833054,0.003807226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004602491,"about_ca_system_score_gemma":0.0006643374,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001842449,"about_ca_topic_score_gemma":0.002687075,"domain_scores_codex":[0.9995042,0.0000323129,0.00002440972,0.0001399051,0.0002605079,0.00003868266],"domain_scores_gemma":[0.9996777,0.00009653051,0.00005566643,0.00005797454,0.00009207598,0.00002004905],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001385169,0.0003319693,0.006954207,0.0008305169,0.0001471969,0.0008628471,0.0002530951,0.01850511,0.3949339,0.009275964,0.05360625,0.5129137],"study_design_scores_gemma":[0.0001935916,0.0004780058,0.004409749,0.0001094063,0.00008463701,0.00109483,0.0001205301,0.5955652,0.2907305,0.005737952,0.1012625,0.0002131032],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06123386,0.001580974,0.8545234,0.0006153888,0.0002668673,0.0007717777,0.0045325,0.06716202,0.009313248],"genre_scores_gemma":[0.3975688,0.00139526,0.570096,0.001049759,0.0001820417,0.0009062606,0.005742437,0.002323764,0.02073574],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01072031,"threshold_uncertainty_score":0.03586304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007438857499284834,"score_gpt":0.2713830344703098,"score_spread":0.263944176971025,"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."}}