{"id":"W6930980193","doi":"10.5281/zenodo.3825266","title":"PhytoChem & BioSub Journal Vol 14(1)-2020","year":2020,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Hops Chemistry and Applications","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Tellabs (Canada)","funders":"","keywords":"Government (linguistics); Feature (linguistics)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006717882,0.001286475,0.0008174372,0.002314377,0.001021796,0.002901052,0.0007152958,0.00100078,0.1594612],"category_scores_gemma":[0.0006614916,0.0003729997,0.0005316293,0.001578535,0.0006102278,0.001425855,0.001096924,0.001300298,0.09386174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000957139,"about_ca_system_score_gemma":0.001571043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007207508,"about_ca_topic_score_gemma":0.00141121,"domain_scores_codex":[0.9996169,0.00002801782,0.00003296499,0.00006159634,0.0002065279,0.00005403544],"domain_scores_gemma":[0.9989234,0.0001132593,0.00009717111,0.00006830109,0.0005064805,0.000291449],"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":[0.0003825949,0.000365197,0.0006486029,0.001382094,0.00003251699,0.0004310377,0.00004037591,0.0001147413,0.04241477,0.003299562,0.545678,0.4052105],"study_design_scores_gemma":[0.000008212742,0.0000948848,0.001234938,0.0000618538,0.0000138206,0.00048246,0.00002509581,0.00005626195,0.006804049,0.0006639028,0.9905482,0.00000621451],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01638807,0.1713238,0.006287201,0.02487338,0.229517,0.0004680504,0.00415791,0.002020945,0.5449637],"genre_scores_gemma":[0.01708107,0.07108895,0.003155292,0.005302572,0.03363451,0.00008841406,0.003664792,0.000390976,0.8655933],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8405388,"threshold_uncertainty_score":0.5334508,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1721429034638982,"score_gpt":0.3885133372294891,"score_spread":0.216370433765591,"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."}}