{"id":"W6931383975","doi":"10.5281/zenodo.6229542","title":"Phytobia pseudobetulivora Zlobin, sp.n.","year":2008,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Seta; Keel; Margin (machine learning); Apex (geometry); Humerus; Upper lip","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":[0.00009249635,0.0006585123,0.0004597768,0.001799159,0.001771137,0.000439563,0.0004165483,0.0003292723,0.006551193],"category_scores_gemma":[0.0001726135,0.0003207157,0.0001920531,0.001018164,0.0005026404,0.0005531462,0.0009674786,0.0003085898,0.002013543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004832496,"about_ca_system_score_gemma":0.0003523425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007995726,"about_ca_topic_score_gemma":0.01653579,"domain_scores_codex":[0.9999205,0.000009439877,0.000008231903,0.00003018814,0.00001967529,0.00001200513],"domain_scores_gemma":[0.9999126,0.00001713658,0.00003310523,0.000007686078,0.0000161438,0.0000133143],"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":[0.00297877,0.0005060892,0.1251157,0.004135022,0.0003741643,0.004725039,0.003613125,0.003939453,0.1677872,0.009462674,0.02005951,0.6573032],"study_design_scores_gemma":[0.0003104245,0.0002805492,0.7721541,0.0005454784,0.0002165468,0.007233385,0.002314019,0.001918412,0.004225204,0.003214286,0.2075259,0.00006166654],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.713216,0.05098493,0.006508627,0.0009249036,0.0003333656,0.0006939804,0.007575917,0.0007408297,0.2190214],"genre_scores_gemma":[0.9757761,0.004855791,0.003391598,0.0004901887,0.0000648579,0.000129152,0.002987281,0.00003457224,0.01227039],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007995726,"threshold_uncertainty_score":0.02191597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02338173488462381,"score_gpt":0.2302064688084062,"score_spread":0.2068247339237824,"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."}}