{"id":"W7098169899","doi":"","title":"TABLE OF CONTENTS","year":2006,"lang":"en","type":"article","venue":"","topic":"Plant chemical constituents analysis","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Best practice; Public health; Table (database); Christian ministry; Public sector; Process (computing); Table of contents","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001107939,0.0006988099,0.0007525979,0.003085245,0.001931669,0.004416889,0.001912263,0.001320883,0.7242478],"category_scores_gemma":[0.007631838,0.0003481785,0.00056707,0.0024327,0.0003889891,0.002281196,0.001659307,0.001524322,0.5708356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00355944,"about_ca_system_score_gemma":0.004574148,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009431656,"about_ca_topic_score_gemma":0.00846811,"domain_scores_codex":[0.9990776,0.0001266633,0.00005146577,0.0001446971,0.0005153093,0.00008428654],"domain_scores_gemma":[0.9954447,0.000574683,0.0001651762,0.0003042927,0.002913307,0.0005979558],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001899523,0.00002833533,0.0001472408,0.0001656935,0.000001667656,0.00002163685,0.00003112341,0.00009481706,0.0001055901,0.00265919,0.9529855,0.04374022],"study_design_scores_gemma":[0.000004794735,0.00001738572,0.0004122515,0.0001391139,0.000002113347,0.00004454136,0.00005750585,0.00007404319,0.00009706487,0.001004719,0.9981406,0.000005873932],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0009442804,0.002443384,0.005839365,0.01045393,0.01539397,0.001557393,0.030017,0.002328407,0.9310222],"genre_scores_gemma":[0.004131592,0.003194921,0.004383186,0.003432696,0.00342488,0.0006475708,0.02289068,0.0007403839,0.9571542],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2757522,"threshold_uncertainty_score":0.3933271,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01403178451418369,"score_gpt":0.1803113806763155,"score_spread":0.1662795961621318,"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."}}