{"id":"W4411657460","doi":"10.51847/jhun5ux","title":"10.51847/JHUN5UX","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Chromatography in Natural Products","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Murraya; Standardization; Environmental science; Traditional medicine; Computer science; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0000559156,0.0001538658,0.0001470208,0.00004713461,0.00006311186,0.00003641625,0.0002927624,0.00009119991,0.9983127],"category_scores_gemma":[0.00004510266,0.0001522981,0.00008111523,0.0002648623,0.00003709998,0.0000767544,0.00004019885,0.0001525893,0.9770555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003043091,"about_ca_system_score_gemma":0.00001696742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000147964,"about_ca_topic_score_gemma":5.113914e-8,"domain_scores_codex":[0.999042,0.000008406379,0.0001584671,0.0003066123,0.0002000627,0.0002844341],"domain_scores_gemma":[0.9992563,0.00003530038,0.00002416014,0.0005089058,0.00003882886,0.000136469],"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":[0.00005873096,0.00004969737,8.578935e-7,0.00002953646,0.00003020205,0.00001282565,0.00001372665,0.00001793437,0.01377881,0.000001235128,0.1305376,0.8554688],"study_design_scores_gemma":[0.00019536,0.00001720146,0.00001589748,0.00002250438,0.00001374018,0.00002045628,5.409555e-7,0.00002647562,0.009264084,0.000007226276,0.9902103,0.000206202],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02673454,0.0002031383,1.764086e-8,0.0002914745,0.000002815141,0.00005724164,0.00001816318,0.0003172863,0.9723753],"genre_scores_gemma":[0.006118222,5.901253e-7,0.0001293002,0.00004786725,0.0002976186,0.000008869925,0.00002599704,0.00002953312,0.993342],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8596727,"threshold_uncertainty_score":0.6210535,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004917265456083644,"score_gpt":0.1800511413302206,"score_spread":0.175133875874137,"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."}}