{"id":"W6950086014","doi":"10.5281/zenodo.5076148","title":"Ganomymar zuparkoi Triapitsyn 2021, sp. nov.","year":2021,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Study of Mite Species","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Holotype; Paratype; Seta; Occiput; Taxonomy (biology)","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":[0.0003780921,0.001330668,0.0008408349,0.002437396,0.001950867,0.0009844159,0.00139298,0.001210982,0.02734403],"category_scores_gemma":[0.0009788208,0.0005441316,0.000320972,0.00239817,0.0007844215,0.002545323,0.001458024,0.001692507,0.0141472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001231363,"about_ca_system_score_gemma":0.0009566479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02794017,"about_ca_topic_score_gemma":0.04128748,"domain_scores_codex":[0.9995824,0.0000339077,0.00006207186,0.0001523646,0.0001049616,0.00006437651],"domain_scores_gemma":[0.9995859,0.00006355118,0.0001716679,0.00004678459,0.00008060365,0.00005144994],"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":[0.0007639569,0.0002702295,0.0294989,0.003248054,0.0002539879,0.005060368,0.003455943,0.001912521,0.01534009,0.003570559,0.1597258,0.7768995],"study_design_scores_gemma":[0.0002224586,0.000338043,0.2246892,0.001437221,0.0004447525,0.01210565,0.003272804,0.001279723,0.001758787,0.0008972688,0.7534658,0.00008831482],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2595141,0.05033973,0.01703597,0.004571477,0.00977383,0.006935886,0.08656038,0.003857649,0.5614108],"genre_scores_gemma":[0.7154121,0.03396608,0.04443264,0.004639813,0.001604892,0.005781581,0.07193929,0.0006444793,0.1215791],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02794017,"threshold_uncertainty_score":0.09147483,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04291963580586459,"score_gpt":0.2237169519012426,"score_spread":0.180797316095378,"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."}}