{"id":"W6893830882","doi":"10.5281/zenodo.5593077","title":"Phaenobezzia Haeselbarth","year":2014,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Vector-Borne Animal Diseases","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sensillum; Dorsum; Arthropod mouthparts; Apex (geometry); Seta; Tarsus (eyelids); Receptacle","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003368226,0.0001075354,0.0001047159,0.00002426237,0.001544729,0.0004855768,0.0007263445,0.00004283085,0.02437409],"category_scores_gemma":[0.0004872046,0.00005356322,0.00005816537,0.00039001,0.00008948027,0.000180515,0.0005157407,0.0001135398,0.01128295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003253421,"about_ca_system_score_gemma":5.772091e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003002687,"about_ca_topic_score_gemma":0.000002683213,"domain_scores_codex":[0.998713,0.0002520655,0.0001441002,0.0003274934,0.0002539435,0.0003094323],"domain_scores_gemma":[0.9993615,0.00003466563,0.00005485069,0.0001144559,0.0002377831,0.0001967918],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006500887,0.0002094865,0.00007029287,0.00001703661,0.0000211332,0.000006399729,0.0001465511,0.000008139848,0.1380072,0.01020032,0.1629789,0.6882694],"study_design_scores_gemma":[0.0001243354,0.0003423881,0.035269,0.000007658001,0.000006602265,0.00002031209,0.00007721181,0.0001367556,0.0005369677,0.0002674049,0.9630777,0.0001336426],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7860846,0.0001046154,0.0001746233,0.001825684,0.00008194448,0.0003333572,0.000242382,0.001467203,0.2096856],"genre_scores_gemma":[0.9979236,0.000026443,0.00004038464,0.0003396131,0.0002753533,2.068251e-8,0.0008453648,0.00006441942,0.0004848182],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8000988,"threshold_uncertainty_score":0.9997551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03107759328215641,"score_gpt":0.2154478500386234,"score_spread":0.184370256756467,"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."}}