{"id":"W6893826456","doi":"10.5281/zenodo.6003054","title":"Lasioglossum (Dialictus) lineatulum","year":2017,"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":"","funders":"","keywords":"Halictidae; Accession number (library science); Type locality; Property (philosophy); State (computer science)","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":[0.00009963031,0.0004165503,0.0001560389,0.001030359,0.0009436426,0.0002194341,0.0003793724,0.000252643,0.007074972],"category_scores_gemma":[0.0002337223,0.0001239656,0.00007939604,0.0008437824,0.0006145583,0.0005295683,0.0007356615,0.000348387,0.002344935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008801948,"about_ca_system_score_gemma":0.000293614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0287266,"about_ca_topic_score_gemma":0.06091949,"domain_scores_codex":[0.9999139,0.0000122605,0.000007440659,0.00003659592,0.00001466115,0.00001512343],"domain_scores_gemma":[0.999871,0.00002305406,0.0000562621,0.000008951255,0.00002272314,0.00001792936],"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":[0.001096138,0.0001507303,0.1486127,0.0009153362,0.00008668019,0.003430647,0.004867319,0.0009805012,0.06210493,0.006011037,0.03791289,0.7338312],"study_design_scores_gemma":[0.0001502239,0.0006059135,0.680944,0.0003774023,0.0001317354,0.003578835,0.003063502,0.0006516872,0.003343818,0.001271532,0.3058352,0.00004610445],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8378007,0.008609609,0.004268568,0.0007505693,0.0002585404,0.00021376,0.005091994,0.0008334618,0.1421727],"genre_scores_gemma":[0.9783601,0.001611442,0.002006862,0.0005341142,0.00006017465,0.0001399763,0.001949168,0.00002637487,0.01531167],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0287266,"threshold_uncertainty_score":0.05711877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05182291225469517,"score_gpt":0.2462313003914194,"score_spread":0.1944083881367242,"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."}}