{"id":"W7103884346","doi":"10.5281/zenodo.17516164","title":"Andrena (Micrandrena) aphroditae Pisanty 2025, sp. nov.","year":2025,"lang":"","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Scutellum; Ridiculous; Buckle; Population","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":[0.0002167967,0.001289368,0.0005471975,0.001041624,0.001140713,0.0006648125,0.0007932705,0.001066606,0.009445163],"category_scores_gemma":[0.0006885844,0.0003004473,0.0003416857,0.0008091222,0.0005331328,0.001657067,0.0009417713,0.001237774,0.008161998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007904676,"about_ca_system_score_gemma":0.0005825795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01113295,"about_ca_topic_score_gemma":0.02055436,"domain_scores_codex":[0.9997193,0.00002458868,0.00003851751,0.0001137526,0.00006665321,0.00003717496],"domain_scores_gemma":[0.9997603,0.00004282808,0.00007677849,0.00003361573,0.00005693008,0.00002954778],"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":[0.0004280875,0.0002497731,0.02118941,0.001689517,0.000206391,0.006778229,0.002080264,0.002466984,0.0436715,0.003719904,0.03093183,0.886588],"study_design_scores_gemma":[0.0002069479,0.0005570262,0.188391,0.0009922005,0.0004242871,0.0271106,0.001827566,0.001447607,0.008703805,0.001336522,0.7689155,0.00008696839],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.365363,0.0508339,0.02459036,0.002375518,0.004062735,0.003298788,0.01611047,0.00251255,0.5308527],"genre_scores_gemma":[0.8182527,0.01653478,0.03754653,0.003102391,0.0007270901,0.001423396,0.01463558,0.0001769532,0.1076007],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01113295,"threshold_uncertainty_score":0.0315972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05761024281694038,"score_gpt":0.2344408970866662,"score_spread":0.1768306542697258,"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."}}