{"id":"W6912742766","doi":"10.5281/zenodo.6625426","title":"Sylvilagus floridanus","year":2016,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Subspecies; Intraspecific competition; Peninsula; Taxonomy (biology); Genetic variability","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":[0.00007411884,0.0005396041,0.0001461421,0.001295856,0.0008504222,0.0002139485,0.0002651193,0.0001605662,0.02440047],"category_scores_gemma":[0.00006623677,0.00008448276,0.0002005355,0.0004020946,0.0001460641,0.0003192523,0.0004201564,0.0001576258,0.009510866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003329568,"about_ca_system_score_gemma":0.0002253375,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01851218,"about_ca_topic_score_gemma":0.06863771,"domain_scores_codex":[0.999938,0.000003245238,0.000003638666,0.00001946489,0.00001909376,0.00001656286],"domain_scores_gemma":[0.9999464,0.000003979019,0.0000141271,0.000004674394,0.00001445844,0.000016376],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004092162,0.0003431405,0.1178957,0.0004322522,0.00006313888,0.001053587,0.001373764,0.0003864105,0.1207331,0.003603721,0.02582337,0.7278825],"study_design_scores_gemma":[0.00002050059,0.0002391143,0.6945897,0.00008234512,0.00003190299,0.001015374,0.0005936798,0.0003139429,0.003416355,0.0004279546,0.2992473,0.00002189921],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.5662047,0.003648062,0.002412905,0.000242688,0.0002115076,0.0003739072,0.008422432,0.0009351076,0.4175486],"genre_scores_gemma":[0.8408237,0.001307862,0.006046976,0.0003209914,0.00005400323,0.0001670467,0.01352711,0.0000653018,0.1376869],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02440047,"threshold_uncertainty_score":0.08162773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02156732760632973,"score_gpt":0.2216871689479399,"score_spread":0.2001198413416102,"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."}}