{"id":"W6893840179","doi":"10.5281/zenodo.5695187","title":"Cacopsylla magnicauda Crawford 1914","year":2012,"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":"Population; Type (biology); Barbarian","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":[0.00007687109,0.0006716183,0.0002017951,0.001492694,0.001360476,0.0003995615,0.0006169907,0.0006627773,0.03322187],"category_scores_gemma":[0.0004161917,0.0002520954,0.00009711632,0.0008226317,0.0004629717,0.0007811986,0.000603884,0.0004376664,0.007275014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001227243,"about_ca_system_score_gemma":0.000531344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03930297,"about_ca_topic_score_gemma":0.09504478,"domain_scores_codex":[0.9999064,0.000006556379,0.000003807213,0.00002518567,0.00003745556,0.00002062282],"domain_scores_gemma":[0.9997528,0.00004805143,0.000084667,0.0000204658,0.00006945575,0.00002455817],"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":[0.0002265888,0.0001034973,0.04688637,0.0009059299,0.00003410867,0.002300558,0.001641499,0.0002841446,0.01994852,0.006015201,0.227866,0.6937874],"study_design_scores_gemma":[0.00002735209,0.00005934711,0.158646,0.0003762078,0.00002965165,0.002393775,0.0005778998,0.0001600863,0.002108774,0.0006068161,0.8349977,0.0000163841],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1619271,0.01342391,0.003931311,0.001488282,0.0009034753,0.0006823791,0.00512429,0.0007386848,0.8117805],"genre_scores_gemma":[0.7815047,0.01084822,0.00652003,0.00164027,0.0004757094,0.0006173699,0.004451953,0.0001006393,0.1938412],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03930297,"threshold_uncertainty_score":0.1111382,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04152718778850758,"score_gpt":0.2240031446966499,"score_spread":0.1824759569081424,"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."}}