{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008120719,0.0003769389,0.0002373294,0.0009485065,0.001186327,0.000602266,0.0002698409,0.0003317211,0.02731332],"category_scores_gemma":[0.0002301327,0.0002171776,0.0001530125,0.0005069383,0.0004825353,0.0005924095,0.0009235576,0.0004901467,0.009571719],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000407374,"about_ca_system_score_gemma":0.0004204638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01101269,"about_ca_topic_score_gemma":0.02326731,"domain_scores_codex":[0.9998636,0.000008227943,0.000008625155,0.00004761698,0.00004475501,0.00002719034],"domain_scores_gemma":[0.9999392,0.000009260292,0.00001550365,0.00001038728,0.00001577097,0.000009882304],"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":[0.0004811531,0.00009143702,0.01689462,0.00125612,0.000106419,0.005862147,0.002766189,0.0007343977,0.08274611,0.01668507,0.02648393,0.8458924],"study_design_scores_gemma":[0.00005786085,0.0001547244,0.1225554,0.0005802987,0.0001014916,0.008813883,0.001385749,0.0003362799,0.006649957,0.002291736,0.8570337,0.00003894772],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2035182,0.01423009,0.005979545,0.0005568488,0.0008281256,0.0002459514,0.003440241,0.000748783,0.7704522],"genre_scores_gemma":[0.8128707,0.00672023,0.005336381,0.0003359315,0.0001348208,0.0001089562,0.002657816,0.0001166046,0.1717186],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02731332,"threshold_uncertainty_score":0.09137219,"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."}}