{"id":"W6931560239","doi":"10.5281/zenodo.6086773","title":"Cerodontha dorsalis Loew 1863","year":2016,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Statistical Methods in Epidemiology","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Range (aeronautics); Taxonomy (biology); Population; Genus","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002319998,0.0001702321,0.0002818652,0.0001576569,0.0008990149,0.0001465811,0.0009873525,0.0001101646,0.03091869],"category_scores_gemma":[0.0341833,0.0001280698,0.00006850006,0.0003144545,0.0003519821,0.0001549959,0.0009459637,0.0002130629,0.01065438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001720155,"about_ca_system_score_gemma":0.000002896643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000892668,"about_ca_topic_score_gemma":2.84898e-7,"domain_scores_codex":[0.9967958,0.001479671,0.0004201221,0.0004781749,0.0003146256,0.0005115507],"domain_scores_gemma":[0.9970503,0.001416496,0.0001545395,0.0007097588,0.0004334871,0.0002354485],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005016152,0.00008772581,0.000009490678,0.00005210044,0.00004223427,0.00001552659,0.0002441531,4.993988e-7,0.003537903,0.3615497,0.4011485,0.233262],"study_design_scores_gemma":[0.0004924524,0.000175349,0.0004061909,0.00005206546,0.00002146809,0.00009767549,0.00005611714,0.00004284389,0.000767536,0.161328,0.8363652,0.0001951368],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007027172,0.00005251986,0.7612614,0.004253935,0.0003285401,0.0005598816,0.0004854167,0.001840491,0.2241907],"genre_scores_gemma":[0.5498703,0.000366456,0.4226601,0.001635604,0.001547205,3.927568e-7,0.0005295377,0.009758694,0.01363178],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5428431,"threshold_uncertainty_score":0.9901159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.17960689503969,"score_gpt":0.3768881576222828,"score_spread":0.1972812625825928,"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."}}