{"id":"W6912823781","doi":"10.5281/zenodo.8319511","title":"Lasioglossum (Dialictus) rufodeludens Gardner & Gibbs 2023, sp. nov.","year":2023,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Fern and Epiphyte Biology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Dorsum; Margin (machine learning); Computed tomography; Taxonomy (biology)","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":[0.0001844074,0.0009758715,0.0003395634,0.001681617,0.001063907,0.0005691769,0.0006441035,0.0007870054,0.008628828],"category_scores_gemma":[0.0005631676,0.0002833523,0.0002259916,0.001070638,0.000653128,0.001162452,0.000852717,0.0008558028,0.005802898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001217758,"about_ca_system_score_gemma":0.0005533709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03948672,"about_ca_topic_score_gemma":0.07498701,"domain_scores_codex":[0.9998448,0.00001353364,0.00001611119,0.00005902679,0.0000414578,0.00002505982],"domain_scores_gemma":[0.9998329,0.00002710754,0.00006436612,0.00001631504,0.00003527477,0.00002405491],"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":[0.0004557844,0.0001308694,0.04657709,0.001226212,0.0001565155,0.002983666,0.002519762,0.001530882,0.0312786,0.002635518,0.03896282,0.8715423],"study_design_scores_gemma":[0.0002067006,0.000365958,0.3301349,0.001655187,0.0005013178,0.01189829,0.002967752,0.001398157,0.005250304,0.001342335,0.644195,0.00008403632],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5286459,0.04630264,0.01746999,0.002272202,0.002417085,0.001503863,0.02064298,0.003318379,0.3774269],"genre_scores_gemma":[0.8971747,0.01610623,0.01750816,0.003014639,0.00038784,0.0009480132,0.01210214,0.0002558768,0.05250257],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03948672,"threshold_uncertainty_score":0.0785138,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05000763780352752,"score_gpt":0.2382645882480543,"score_spread":0.1882569504445268,"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."}}