{"id":"W7098404068","doi":"","title":"Acknowledgements","year":2015,"lang":"en","type":"article","venue":"","topic":"Bioactive Natural Diterpenoids Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Empirical research; Government (linguistics); Order (exchange)","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":[0.006534723,0.0008781902,0.001504509,0.005595282,0.002504166,0.004783687,0.002860791,0.001174221,0.6490654],"category_scores_gemma":[0.03522374,0.0004384477,0.0005802197,0.007283696,0.0007972718,0.001933256,0.002782193,0.001995728,0.3055021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01465058,"about_ca_system_score_gemma":0.03695903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.488406,"about_ca_topic_score_gemma":0.4475375,"domain_scores_codex":[0.9931782,0.0005885006,0.0003607909,0.0006078293,0.004354909,0.0009096968],"domain_scores_gemma":[0.9482734,0.002807224,0.001217876,0.00245348,0.03860454,0.006643561],"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":[0.00003261173,0.000003852756,0.0002374819,0.00004386932,0.000002211317,0.00002528152,0.00007301106,0.00003505736,0.00003798091,0.001661873,0.9906096,0.007237107],"study_design_scores_gemma":[0.00001551483,0.000002042262,0.001196583,0.00008145767,0.0000037155,0.00003162168,0.0002121983,0.00009535291,0.00006341565,0.0005585293,0.9977294,0.00001018368],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.002552972,0.002951619,0.00539362,0.08168999,0.02067007,0.001470093,0.5218126,0.006680349,0.3567787],"genre_scores_gemma":[0.01813072,0.002487811,0.005288997,0.006902255,0.002154623,0.0008578971,0.1739168,0.003121518,0.7871393],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.488406,"threshold_uncertainty_score":0.9711264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03973995854817121,"score_gpt":0.3410390317149318,"score_spread":0.3012990731667606,"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."}}