{"id":"W6950624689","doi":"10.5281/zenodo.6061029","title":"Hemeromyia washingtona","year":2016,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Parasite Biology and Host Interactions","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Holotype; Identification (biology); Malaise; Selection (genetic algorithm)","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":[0.0001033883,0.0003409482,0.0001734664,0.001077731,0.001625616,0.0003173953,0.0003625755,0.0003151901,0.006839867],"category_scores_gemma":[0.0003188931,0.0001425645,0.0000888085,0.0006615348,0.0003807681,0.0004510421,0.000502279,0.0003474139,0.001215257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00126789,"about_ca_system_score_gemma":0.0008555655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1263947,"about_ca_topic_score_gemma":0.3048759,"domain_scores_codex":[0.9998965,0.000007517166,0.000005712533,0.0000355477,0.00002760324,0.00002705554],"domain_scores_gemma":[0.9998845,0.00001263393,0.00002333471,0.00001353922,0.00004633568,0.00001954297],"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":[0.0008308348,0.0001346616,0.1198089,0.0009008183,0.00006138681,0.002892778,0.004657293,0.0007418853,0.1659553,0.005033636,0.03109269,0.6678898],"study_design_scores_gemma":[0.00005674821,0.0002143676,0.7565185,0.000699394,0.0000651983,0.003361425,0.00303536,0.0004207863,0.005623303,0.00109909,0.2288621,0.00004371133],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7234796,0.005333367,0.001923348,0.0003860068,0.0002496789,0.0001916862,0.002568444,0.0002318607,0.2656361],"genre_scores_gemma":[0.9750656,0.001496976,0.001847152,0.0002181284,0.00003813804,0.00004611122,0.00119784,0.00001782421,0.02007242],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1263947,"threshold_uncertainty_score":0.251318,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02742074458341988,"score_gpt":0.281862716079777,"score_spread":0.2544419714963572,"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."}}