{"id":"W6949616566","doi":"10.5281/zenodo.15021111","title":"Euura semilactea PR.","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Diaspora, migration, transnational identity","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Holotype; Minimum distance; Penis; Type (biology); Black spot","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006006059,0.0004166552,0.0001890971,0.001204535,0.0006450975,0.0003267524,0.000250136,0.0002205046,0.01989483],"category_scores_gemma":[0.0001484806,0.0001466595,0.000162354,0.0003645252,0.0003309282,0.0005023262,0.0006994075,0.0002596306,0.00782849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002973424,"about_ca_system_score_gemma":0.0001344073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002238792,"about_ca_topic_score_gemma":0.005713969,"domain_scores_codex":[0.9999316,0.00001305483,0.000008695557,0.00002279767,0.00001266145,0.00001120067],"domain_scores_gemma":[0.9999554,0.000007306837,0.00001653725,0.000006373823,0.000009090583,0.000005316811],"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":[0.0004206703,0.00009120401,0.02550759,0.0008796323,0.00005601554,0.001850513,0.001277151,0.0003846121,0.03729971,0.009016415,0.01123099,0.9119855],"study_design_scores_gemma":[0.00006603565,0.000271958,0.3987948,0.0007688648,0.0001147178,0.007687578,0.001549955,0.0004876048,0.004425115,0.001896342,0.5839064,0.00003058675],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.3378334,0.02146345,0.005554934,0.0003365373,0.0002797439,0.0003391809,0.003158899,0.0006411059,0.6303926],"genre_scores_gemma":[0.9291607,0.002821706,0.003339808,0.0002237835,0.00005862115,0.00009703395,0.001964164,0.00004894268,0.06228539],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01989483,"threshold_uncertainty_score":0.06655484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03753634162662369,"score_gpt":0.3046529478218077,"score_spread":0.267116606195184,"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."}}