{"id":"W6929855566","doi":"10.5281/zenodo.10680788","title":"Magnolioxylon krauselii Van der Burgh 1973","year":2019,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"vaccines and immunoinformatics approaches","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Spiral (railway); Lateral wall; Smooth surface; Parenchyma","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":[],"consensus_categories":[],"category_scores_codex":[0.00009157456,0.0005036761,0.0001797692,0.001120017,0.0008769103,0.0003791434,0.0004749433,0.0003839133,0.009706129],"category_scores_gemma":[0.0001538397,0.0002486072,0.0001103118,0.0004890969,0.0003316303,0.0008000451,0.0004099716,0.0004391431,0.003151414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005190159,"about_ca_system_score_gemma":0.0001829556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007409555,"about_ca_topic_score_gemma":0.01897345,"domain_scores_codex":[0.9999071,0.000006265136,0.000005387315,0.00003379822,0.00002946671,0.0000179622],"domain_scores_gemma":[0.9999202,0.00001188202,0.00003216867,0.000007657594,0.00001820971,0.000009765125],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003355093,0.0002091618,0.04209808,0.0008543011,0.00006882023,0.002548944,0.003369082,0.001131455,0.2359676,0.009713996,0.02919,0.674513],"study_design_scores_gemma":[0.00003660574,0.0002902222,0.3041576,0.0004822252,0.00005704156,0.006702265,0.001413304,0.0005704605,0.01897665,0.002270038,0.6649884,0.00005522513],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5980747,0.01913506,0.006446968,0.0008782508,0.0003217984,0.0002836701,0.002871931,0.0005992873,0.3713883],"genre_scores_gemma":[0.8929268,0.003822988,0.003664032,0.0004239191,0.0001391605,0.0001167116,0.001983145,0.00004268859,0.0968807],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009706129,"threshold_uncertainty_score":0.03247029,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01713731461264632,"score_gpt":0.2203618308834255,"score_spread":0.2032245162707792,"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."}}