{"id":"W6949994529","doi":"10.5281/zenodo.5896430","title":"Multivesicula zhengi Gao & Bu 2022, sp. nov.","year":2022,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Slime Mold and Myxomycetes Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Seta; Holotype; Sensillum; Dorsum; Apex (geometry)","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":[0.0002226791,0.001052309,0.0007251785,0.001677087,0.001500965,0.0005450332,0.0008076806,0.0009062687,0.003934475],"category_scores_gemma":[0.0008152595,0.0002921403,0.0002921361,0.001844728,0.0004643544,0.001373101,0.001107492,0.0006957017,0.002204265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008562172,"about_ca_system_score_gemma":0.0006893412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01470133,"about_ca_topic_score_gemma":0.01527681,"domain_scores_codex":[0.9997025,0.0000265964,0.00004031396,0.0001146681,0.00007534729,0.00004056093],"domain_scores_gemma":[0.9997899,0.0000413632,0.00006588774,0.00002126115,0.00005200858,0.00002961461],"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":[0.0008422956,0.0002712545,0.0853729,0.002298888,0.0004435402,0.01075606,0.003752714,0.004478154,0.05286045,0.005300789,0.07686014,0.7567628],"study_design_scores_gemma":[0.0004121522,0.0005475871,0.4136926,0.0009777867,0.000767119,0.01633944,0.003041657,0.003759402,0.006217031,0.003470499,0.5505908,0.0001839352],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5941672,0.07989194,0.02807698,0.004036654,0.004583797,0.002330785,0.02220935,0.002972647,0.2617306],"genre_scores_gemma":[0.9396981,0.01004288,0.01361771,0.001490816,0.0005025974,0.00136485,0.008798406,0.00009006056,0.02439454],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01470133,"threshold_uncertainty_score":0.02923155,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02148445468186937,"score_gpt":0.2193591902952511,"score_spread":0.1978747356133817,"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."}}