{"id":"W6893920451","doi":"10.5281/zenodo.5927444","title":"Aphaenogaster Mayr 1853","year":2019,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Coleoptera Taxonomy and Distribution","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Taxon; Litter; Subgenus; Plant litter; Supralittoral zone","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":[0.0001319493,0.0003053338,0.0002238906,0.0008505617,0.0007633505,0.0003273349,0.0002114734,0.0003180942,0.0113471],"category_scores_gemma":[0.0001990563,0.0001633148,0.0001238732,0.0004119343,0.0003239068,0.0006415197,0.0006480921,0.000319206,0.002768193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004870983,"about_ca_system_score_gemma":0.0002295059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007558386,"about_ca_topic_score_gemma":0.01372974,"domain_scores_codex":[0.9998828,0.00001252225,0.00001227222,0.00004130424,0.00003615876,0.00001494681],"domain_scores_gemma":[0.9999396,0.00001167215,0.00001994262,0.000006815713,0.00001193651,0.00001008266],"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":[0.0007932201,0.0003246059,0.1514826,0.001294639,0.0001462803,0.004899031,0.003896211,0.0008599904,0.09918509,0.003711991,0.03232766,0.7010787],"study_design_scores_gemma":[0.00009374788,0.0003774751,0.8253522,0.0002508991,0.000103035,0.006145926,0.002220251,0.0005414766,0.002469215,0.001130954,0.1612884,0.0000263832],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7905188,0.003900874,0.001400495,0.0005184934,0.00035901,0.0002132976,0.002620693,0.0004054061,0.2000629],"genre_scores_gemma":[0.9810945,0.001303778,0.001432949,0.0004621185,0.000122906,0.00004464807,0.001379011,0.00001432421,0.01414578],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0113471,"threshold_uncertainty_score":0.03795975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02787275666729234,"score_gpt":0.203053966821815,"score_spread":0.1751812101545226,"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."}}