{"id":"W4410069868","doi":"10.1002/cjce.25740","title":"<scp>pH</scp> and <scp>UVA</scp> real‐time data feasibility for monitoring aqueous <scp>PVA</scp> degradation in a continuous pilot‐scale <scp>UV</scp> / <scp> H <sub>2</sub> O <sub>2</sub> </scp> photoreactor: Experimental and statistical analysis","year":2025,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Water Quality Monitoring and Analysis","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada; Toronto Metropolitan University","keywords":"Degradation (telecommunications); Chemistry; Aqueous solution; Computer science; Telecommunications; Organic chemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.001400883,0.0005270545,0.0004240337,0.0004277572,0.0002034427,0.0005013267,0.0003933734,0.0004785456,0.001555792],"category_scores_gemma":[0.002212929,0.0002408329,0.0003459991,0.0005235561,0.0004090879,0.0003624159,0.0002472249,0.0004190279,0.0003224433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003144344,"about_ca_system_score_gemma":0.000486763,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001143246,"about_ca_topic_score_gemma":0.001524305,"domain_scores_codex":[0.9987111,0.0002607268,0.00005449439,0.0002177247,0.0007093252,0.00004654085],"domain_scores_gemma":[0.998109,0.000757172,0.0003071968,0.0001970048,0.0005857449,0.0000439189],"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":[0.0006781796,0.0001558048,0.004211983,0.0001388296,0.00004169549,0.00007348902,0.00006371983,0.003312441,0.9682354,0.00008787159,0.0002599515,0.02274056],"study_design_scores_gemma":[0.0000422228,0.001139427,0.03459134,0.00001002006,0.00004986676,0.0001234605,0.00008324982,0.0548166,0.9077427,0.0001360863,0.001218667,0.00004641161],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8769099,0.000193108,0.1191437,0.0001508394,0.00003110553,0.000189907,0.001108907,0.001261563,0.001010836],"genre_scores_gemma":[0.9535037,0.00009945361,0.04486146,0.00004250174,0.00000953956,0.0003002236,0.000380901,0.00007986956,0.0007223074],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001555792,"threshold_uncertainty_score":0.007408679,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01720277185459446,"score_gpt":0.2418952480485102,"score_spread":0.2246924761939157,"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."}}