{"id":"W6930980193","doi":"10.5281/zenodo.3825266","title":"PhytoChem &amp; 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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004751477,0.0001471175,0.000140906,0.00004478344,0.002375337,0.0002911113,0.0009447813,0.0001441138,0.05827318],"category_scores_gemma":[0.0008659873,0.0001571636,0.00007616448,0.0004899406,0.0001958518,0.0001429833,0.0005224781,0.0009809303,0.01921573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006895813,"about_ca_system_score_gemma":0.00000745357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":4.79684e-7,"about_ca_topic_score_gemma":4.174959e-8,"domain_scores_codex":[0.9985359,0.0002984295,0.0002720336,0.000327329,0.0002022105,0.0003640815],"domain_scores_gemma":[0.9984969,0.00003835156,0.000122482,0.0002259007,0.000569013,0.000547318],"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":[0.0001149953,0.0001500171,0.00001244807,0.0000465617,0.00007464267,0.00001769689,0.001142443,0.00008858335,0.1626824,0.0005652921,0.8038333,0.03127155],"study_design_scores_gemma":[0.0006810688,0.00007414004,0.00004596879,0.000006072383,0.00003243669,0.0001821458,0.0001354628,0.0003183467,0.02796826,0.000140724,0.9702516,0.0001638125],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.308392,0.0009351714,0.01728696,0.06022686,0.001051953,0.001690736,0.001417131,0.003564683,0.6054345],"genre_scores_gemma":[0.9897749,0.0002680878,0.0004441014,0.003918449,0.001550233,1.423794e-7,0.001085057,0.0007708064,0.00218816],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.681383,"threshold_uncertainty_score":0.9989234,"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."}}