{"id":"W4415957830","doi":"10.1021/acs.jchemed.5c00920","title":"Qualitative and Quantitative Analysis of Spinach Extracts: A Modular, Inexpensive, and Bench-Friendly Protocol","year":2025,"lang":"en","type":"article","venue":"Journal of Chemical Education","topic":"Various Chemistry Research Topics","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Thompson Rivers University","funders":"","keywords":"Protocol (science); Modular design; Spinach; Quantitative analysis (chemistry); Qualitative analysis; Thin-layer chromatography; Biological pigment","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":[],"consensus_categories":[],"category_scores_codex":[0.0003500793,0.0001270085,0.0004620125,0.0003387464,0.00002938444,0.00003760014,0.0001492632,0.0001230172,0.00009029515],"category_scores_gemma":[0.001839631,0.0001145393,0.0001378285,0.0008521002,0.0001854632,0.0001685052,0.00005885476,0.0003425761,1.500873e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001166931,"about_ca_system_score_gemma":0.0005097648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003760343,"about_ca_topic_score_gemma":0.000002694239,"domain_scores_codex":[0.9987156,0.00004706552,0.000605723,0.0001889226,0.0003034555,0.0001392192],"domain_scores_gemma":[0.9979035,0.0003684215,0.0005415847,0.0001747717,0.000884017,0.000127728],"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":[0.000334675,0.0005628121,0.00393607,0.0007298469,0.002604741,0.00000249627,0.005941356,0.00001725896,0.9812741,0.001818259,0.0005601012,0.002218277],"study_design_scores_gemma":[0.001412537,0.0001474398,0.004665927,0.0003536173,0.002556387,0.00002026227,0.0174736,0.001897809,0.9636195,0.005608827,0.001984184,0.0002598513],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951694,0.00021794,0.0003816209,0.0007845509,0.00001726531,0.001067916,0.00001216158,0.000004418786,0.002344704],"genre_scores_gemma":[0.9932618,0.00001577431,0.005582447,0.00004096557,0.00003686976,0.0006940623,0.00001802485,0.000006532511,0.0003434903],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01765455,"threshold_uncertainty_score":0.4670779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02965364055950057,"score_gpt":0.4476235649805987,"score_spread":0.4179699244210981,"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."}}