{"id":"W2047661849","doi":"10.1021/es103796v","title":"In Situ Measurement of UV Fluence Rate Distribution by Use of a Micro Fluorescent Silica Detector","year":2011,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Water Quality Monitoring and Analysis","field":"Environmental Science","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Fluence; Ultraviolet; Transmittance; Materials science; Fluorescence; Detector; In situ; Analytical Chemistry (journal); Optics; RADIUS; Range (aeronautics); Optoelectronics; Chemistry; Physics; Laser; Chromatography","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0007794885,0.0001589069,0.0002332714,0.0001644623,0.00009493031,0.000008042275,0.0006124218,0.0001015832,0.0001708136],"category_scores_gemma":[0.00008792865,0.000145748,0.00005782894,0.001007028,0.002777228,0.0003674307,0.0004367228,0.0001414943,0.00005464539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006869934,"about_ca_system_score_gemma":0.00001246151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008603009,"about_ca_topic_score_gemma":0.00002341186,"domain_scores_codex":[0.9979805,0.00006287319,0.0004253846,0.0005076257,0.0006029946,0.0004205928],"domain_scores_gemma":[0.9992417,0.00001349924,0.0001990357,0.0004542858,0.000006342287,0.00008514222],"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":[0.00001396913,0.0002848384,0.1160306,0.000003494391,0.000004165481,0.000002464614,0.0001773512,0.00003087343,0.8822671,0.00001122785,0.00004160179,0.001132289],"study_design_scores_gemma":[0.0001473053,0.0001161708,0.1321439,0.00001688423,0.00001099774,0.000002139012,0.0001293595,0.00003523569,0.8668281,0.0001244138,0.0003188138,0.0001265611],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992562,0.00004893502,0.0003020012,0.00010616,0.00005014811,0.0001535927,0.00003325359,0.00002261531,0.00002710907],"genre_scores_gemma":[0.9990211,0.00003359791,0.0008759749,0.00001180462,0.000003297524,0.00001573757,0.000003530723,0.000006383875,0.00002858969],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01611336,"threshold_uncertainty_score":0.9999366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02138935745687175,"score_gpt":0.2123327267568881,"score_spread":0.1909433693000163,"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."}}