{"id":"W6931103072","doi":"10.5281/zenodo.4339840","title":"Anthomyza equiseti Roháćek & Barber 2016, sp. nov.","year":2016,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Carex; Bay; Pollen; Hay; Peat","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":[0.0002631136,0.001088112,0.0004799874,0.001491567,0.002113378,0.0007718844,0.0008011246,0.001248998,0.009232371],"category_scores_gemma":[0.001011089,0.0004447815,0.0002236274,0.0009613273,0.0009097353,0.001639108,0.0009362458,0.001374013,0.005286369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008797341,"about_ca_system_score_gemma":0.0006707413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0186241,"about_ca_topic_score_gemma":0.03324801,"domain_scores_codex":[0.9997153,0.00002756002,0.00002711166,0.0001020805,0.00009402772,0.00003404325],"domain_scores_gemma":[0.9997048,0.00004140798,0.00009934178,0.0000325774,0.00008888393,0.00003287035],"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":[0.001230391,0.0003333205,0.08562347,0.003465374,0.000462655,0.01418858,0.007764912,0.003113371,0.04528446,0.005601242,0.1086753,0.7242569],"study_design_scores_gemma":[0.0002155783,0.0003164297,0.422316,0.001736573,0.00059051,0.02194224,0.002801331,0.001256005,0.00333572,0.00192098,0.5434802,0.00008846979],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4587699,0.05748678,0.0132149,0.004452542,0.002418797,0.001846285,0.01315683,0.001222812,0.4474311],"genre_scores_gemma":[0.8641658,0.02357582,0.01656626,0.001993665,0.001136336,0.0008435771,0.009270773,0.0001523503,0.08229529],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0186241,"threshold_uncertainty_score":0.03703141,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09087258302477849,"score_gpt":0.3284705074163539,"score_spread":0.2375979243915754,"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."}}