{"id":"W2161162895","doi":"10.1002/pca.1058","title":"Real‐time fluorescence‐based detection of furanocoumarin photoadducts of DNA","year":2008,"lang":"en","type":"article","venue":"Phytochemical Analysis","topic":"Plant chemical constituents analysis","field":"Agricultural and Biological Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada; Universities Space Research Association","keywords":"Chemistry; Imperatorin; Psoralen; Fluorescence; DNA; Chromatography; Furanocoumarin; Adduct; Molecular biology; Biochemistry; Organic chemistry; High-performance liquid chromatography","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":[0.002336139,0.002174473,0.001307538,0.001415492,0.000422523,0.0008226544,0.001372902,0.001525142,0.003205707],"category_scores_gemma":[0.001973481,0.00105844,0.0009477188,0.001110851,0.001045879,0.0009588033,0.0006213783,0.002420252,0.001534287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009468686,"about_ca_system_score_gemma":0.0006179258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004233001,"about_ca_topic_score_gemma":0.0008990702,"domain_scores_codex":[0.9960758,0.0009872224,0.0003118594,0.001551242,0.0008118409,0.0002620926],"domain_scores_gemma":[0.9980785,0.0007278704,0.00039171,0.0002465793,0.0004596943,0.00009563147],"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":[0.00009509257,0.0000586026,0.0001845298,0.0001648893,0.0000126555,0.0000175761,0.00004935672,0.0001480566,0.9966977,0.0001186433,0.00005094129,0.002402013],"study_design_scores_gemma":[0.00001183172,0.0001988538,0.000638399,0.00001013493,0.00002165105,0.00004748094,0.00002001929,0.002789579,0.9947277,0.0000864305,0.001432221,0.00001555471],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3004805,0.002879286,0.6855592,0.0003347586,0.0003826196,0.001371966,0.002843397,0.003159058,0.002989178],"genre_scores_gemma":[0.2798691,0.002744624,0.6953108,0.0004281516,0.00009884572,0.004265357,0.004914502,0.0003211407,0.01204754],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003205707,"threshold_uncertainty_score":0.01235485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01621564408377717,"score_gpt":0.2084370258950474,"score_spread":0.1922213818112702,"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."}}