{"id":"W6912207326","doi":"10.5281/zenodo.3681014","title":"Hypselomus egens Erichson 1847","year":2019,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Coleoptera Taxonomy and Distribution","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Locality; Current (fluid); Quarter (Canadian coin)","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":[0.0001124215,0.0004767874,0.000145993,0.0008010246,0.0007970319,0.0002696413,0.0003411633,0.0004419951,0.009494221],"category_scores_gemma":[0.0002781102,0.0001591978,0.00008261319,0.000394531,0.0005006476,0.0007840911,0.0008437402,0.0003416754,0.003161514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001614617,"about_ca_system_score_gemma":0.0001458975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00198806,"about_ca_topic_score_gemma":0.004389252,"domain_scores_codex":[0.9998925,0.00001507198,0.000007771925,0.00002657437,0.00003561144,0.00002252513],"domain_scores_gemma":[0.999903,0.00002381205,0.00003621104,0.000008880999,0.00001695029,0.00001114689],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003762883,0.0001151646,0.05526664,0.0007523542,0.00008506456,0.005310297,0.003661063,0.0005723805,0.05043606,0.00770105,0.02598849,0.8497352],"study_design_scores_gemma":[0.00005389353,0.0003683791,0.5295715,0.0007132448,0.00008032349,0.01566125,0.002093347,0.000445768,0.005956969,0.002366701,0.4426401,0.00004849204],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6071503,0.01859422,0.003244978,0.0006962335,0.0004772123,0.0001730482,0.001154363,0.0003565178,0.3681532],"genre_scores_gemma":[0.9733714,0.004015646,0.002163465,0.0003714527,0.0001616125,0.00004422792,0.0005563942,0.00001731023,0.01929842],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009494221,"threshold_uncertainty_score":0.03176129,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02664309381809669,"score_gpt":0.2018432616717601,"score_spread":0.1752001678536635,"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."}}