{"id":"W6950342175","doi":"10.5281/zenodo.5253227","title":"Thienemanniella xena","year":2012,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Aquatic Invertebrate Ecology and Behavior","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Seta; Mandible (arthropod mouthpart); Basal (medicine); Nearctic ecozone","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":[0.0000631549,0.0005083256,0.0002015669,0.0006236652,0.0007181571,0.0004061652,0.0002934092,0.0003914719,0.01750099],"category_scores_gemma":[0.0002379044,0.0001334117,0.0001482156,0.0004916689,0.0002223038,0.0006649465,0.0007308459,0.0003354441,0.0048057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003652201,"about_ca_system_score_gemma":0.0002355941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004436772,"about_ca_topic_score_gemma":0.006326113,"domain_scores_codex":[0.9999242,0.000008703291,0.000006851909,0.00002741425,0.00001653301,0.00001634789],"domain_scores_gemma":[0.9999161,0.00001576118,0.00002809691,0.00001221361,0.00001686562,0.00001104725],"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":[0.001714954,0.000237263,0.03214669,0.002817702,0.0001004365,0.008676745,0.001969761,0.004750057,0.2985519,0.009392864,0.0402361,0.5994056],"study_design_scores_gemma":[0.0001212341,0.0008924283,0.2306983,0.0009111071,0.0001603133,0.01450273,0.003147702,0.003780477,0.04411231,0.002811098,0.6987631,0.00009925231],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5335537,0.009073706,0.007259249,0.0008772415,0.0006860617,0.0002425494,0.005884867,0.000510564,0.4419121],"genre_scores_gemma":[0.9129999,0.003720985,0.0052698,0.0003059069,0.00009638481,0.0001020726,0.003322839,0.00003362908,0.07414842],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01750099,"threshold_uncertainty_score":0.05854666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03171026384110066,"score_gpt":0.2358639162633323,"score_spread":0.2041536524222317,"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."}}