{"id":"W6931506096","doi":"10.5281/zenodo.7019676","title":"Empria improba","year":2022,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Efficiency Analysis Using DEA","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Homonym (biology); Type (biology); Taxon; Nomenclature; 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":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.005887822,0.0001213873,0.0001871171,0.0006293665,0.006765866,0.001543109,0.003358785,0.00003066014,0.09085961],"category_scores_gemma":[0.004043244,0.0001161384,0.0001184662,0.002896045,0.0001757886,0.000266055,0.003810366,0.0003757246,0.02076948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002263028,"about_ca_system_score_gemma":0.000007534304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001865948,"about_ca_topic_score_gemma":3.293848e-7,"domain_scores_codex":[0.9951539,0.001237889,0.0004886505,0.0006859297,0.002043206,0.0003903976],"domain_scores_gemma":[0.9976953,0.0001323537,0.0002214563,0.001023508,0.0007644837,0.0001628907],"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":[0.00006477383,0.0002866705,0.00002233582,0.000005513694,0.00003847877,0.00003277211,0.002338027,0.004181782,0.007266968,0.01300727,0.7250838,0.2476717],"study_design_scores_gemma":[0.0002283973,0.0001655694,0.0004912608,0.000001814964,0.000009653746,0.00008933581,0.0009856932,0.003705862,0.0001396411,0.002609272,0.9914311,0.0001424399],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2655736,0.0003155118,0.0339561,0.009198015,0.001045916,0.001024205,0.0006352563,0.002487299,0.6857641],"genre_scores_gemma":[0.9932234,0.000005085703,0.0002704888,0.000401248,0.00009102056,3.948193e-8,0.0002837691,0.0006608456,0.005064155],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7276498,"threshold_uncertainty_score":0.9994934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.098543007280478,"score_gpt":0.3317928989397163,"score_spread":0.2332498916592383,"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."}}