{"id":"W6894183709","doi":"10.5281/zenodo.8319484","title":"Lasioglossum gemmatum","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":"Sterna; Oblique case; Margin (machine learning); Dorsum; Coracoid","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":[0.0001810253,0.0007206323,0.0002879199,0.001582752,0.001162739,0.0006132092,0.0004144307,0.0004371454,0.004856274],"category_scores_gemma":[0.0003236675,0.0001771305,0.0002428892,0.001070126,0.0003788403,0.0008474769,0.001135773,0.000569568,0.001457872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001059647,"about_ca_system_score_gemma":0.0005218979,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0167061,"about_ca_topic_score_gemma":0.0316574,"domain_scores_codex":[0.999841,0.00001525872,0.00001458179,0.00004592857,0.0000470757,0.00003622731],"domain_scores_gemma":[0.9998941,0.000009790194,0.00003502789,0.000008646493,0.00003483487,0.00001755016],"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":[0.0009448818,0.0001662351,0.09181502,0.001687998,0.0001035608,0.006833171,0.003648527,0.001464105,0.1733044,0.003936051,0.01495348,0.7011425],"study_design_scores_gemma":[0.00008788758,0.0005664135,0.3554893,0.0006566602,0.0003396193,0.007969332,0.003400118,0.001836113,0.01440836,0.002195673,0.6129718,0.00007882219],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8462107,0.01758271,0.006566799,0.001814649,0.0005703489,0.0002358176,0.004873025,0.001610129,0.1205357],"genre_scores_gemma":[0.9688513,0.003186587,0.004212474,0.0007298386,0.00006983612,0.00007595873,0.003593904,0.00006679136,0.01921324],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0167061,"threshold_uncertainty_score":0.03321773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05111358841674754,"score_gpt":0.2307209377646518,"score_spread":0.1796073493479042,"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."}}