{"id":"W4411617787","doi":"10.51847/rou9sea","title":"10.51847/ROu9Sea","year":2000,"lang":"en","type":"review","venue":"Time to knit","topic":"Analytical Chemistry and Chromatography","field":"Chemistry","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Separation (statistics); Chemistry; Chromatography; Chiral stationary phase; Mathematics; High-performance liquid chromatography; Statistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004489181,0.001471899,0.0009218547,0.001689976,0.0006816621,0.001904177,0.001601763,0.002399285,0.8402113],"category_scores_gemma":[0.000637872,0.0003616586,0.0005786733,0.001630737,0.0007248058,0.001804816,0.001623054,0.001029193,0.9204727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005788477,"about_ca_system_score_gemma":0.0004872072,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00106391,"about_ca_topic_score_gemma":0.0009408009,"domain_scores_codex":[0.9996709,0.00002810573,0.00002047672,0.0001014993,0.0001291242,0.00004983263],"domain_scores_gemma":[0.9996204,0.0000656066,0.00003627774,0.0000641026,0.0001328115,0.00008077427],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009718662,0.00006938524,0.0001610341,0.0007531141,0.00001513795,0.000177908,0.00003799736,0.0001812135,0.004118781,0.005526546,0.12035,0.8685118],"study_design_scores_gemma":[0.00001032668,0.00003434962,0.0001888714,0.0001249667,0.000005619891,0.0002976535,0.00001270928,0.00003966476,0.0006557895,0.0004084999,0.9982161,0.000005382251],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0009320677,0.01698898,0.002173657,0.0006769355,0.001183485,0.0000919388,0.0006985403,0.001262636,0.9759918],"genre_scores_gemma":[0.003306962,0.006889147,0.001422897,0.0004800077,0.0002740106,0.00005565365,0.0006051857,0.0001959106,0.9867703],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1597887,"threshold_uncertainty_score":0.2279192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01544718459675057,"score_gpt":0.237055537182469,"score_spread":0.2216083525857184,"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."}}