{"id":"W7125285633","doi":"10.53941/sai.2025.100001","title":"Sensors and AI","year":2025,"lang":"en","type":"article","venue":"Sensors and AI","topic":"Water Quality Monitoring Technologies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Dissemination; Multidisciplinary approach; Work (physics); Field (mathematics)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002478526,0.0007988575,0.0006985748,0.001950969,0.001119381,0.008902431,0.001174215,0.003644676,0.01558734],"category_scores_gemma":[0.006505216,0.0003296077,0.0004359174,0.001775916,0.006384499,0.007333313,0.002885092,0.00328006,0.005213679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001636211,"about_ca_system_score_gemma":0.001727748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001610526,"about_ca_topic_score_gemma":0.001480881,"domain_scores_codex":[0.9971289,0.0008064885,0.0001412917,0.0004325637,0.00131931,0.0001713681],"domain_scores_gemma":[0.9969035,0.001464627,0.0002002371,0.0003766163,0.0008212297,0.0002338354],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000051826,0.00005360951,0.0009941363,0.0009197275,0.00006030216,0.0001459717,0.0006452457,0.001688932,0.002728883,0.6430554,0.1113431,0.238313],"study_design_scores_gemma":[0.000008194818,0.00005475639,0.0006498555,0.000473037,0.00001984199,0.0004229848,0.0006701211,0.002803458,0.001018561,0.3852302,0.6086102,0.00003889269],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004873542,0.2840948,0.08544096,0.1128295,0.01945002,0.0001352767,0.0005154032,0.001114474,0.4915461],"genre_scores_gemma":[0.2837467,0.2694012,0.09321107,0.02964269,0.02216257,0.0004485649,0.0008936999,0.0005117595,0.2999817],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01558734,"threshold_uncertainty_score":0.05214483,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01106509558331896,"score_gpt":0.2565911809493558,"score_spread":0.2455260853660368,"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."}}