{"id":"W6911349524","doi":"10.5281/zenodo.11343031","title":"Perognathus parvus Peale 1848","year":2005,"lang":"es","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; Gig economy; Work space","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":[0.00006691723,0.0005437018,0.00020554,0.001050932,0.0008573658,0.0003393712,0.000414021,0.0002622668,0.04466451],"category_scores_gemma":[0.0001939169,0.0001296474,0.000105842,0.0006840181,0.0003140533,0.0008590958,0.0006331297,0.000289165,0.01890764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003704048,"about_ca_system_score_gemma":0.0001830333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01279484,"about_ca_topic_score_gemma":0.0246334,"domain_scores_codex":[0.9999117,0.000005953456,0.000004979396,0.00003018039,0.00003111283,0.00001612857],"domain_scores_gemma":[0.9998969,0.000009986354,0.00004299329,0.00001012955,0.00002758125,0.00001246569],"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":[0.0001873947,0.0001133666,0.03433666,0.0003370652,0.0000339752,0.001248087,0.001051975,0.0002185712,0.009174381,0.001728296,0.1168694,0.8347008],"study_design_scores_gemma":[0.0000155538,0.0001033231,0.2217637,0.0002108934,0.00002717952,0.003051187,0.000525635,0.0002162758,0.0008955361,0.0005668057,0.7726085,0.00001548283],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.126349,0.008701869,0.003905514,0.0007237804,0.000629861,0.000238861,0.005176087,0.001002047,0.853273],"genre_scores_gemma":[0.7107638,0.005298258,0.004069667,0.001013352,0.0004039143,0.0001032188,0.004726943,0.000120907,0.2735],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04466451,"threshold_uncertainty_score":0.1494176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02114102945593898,"score_gpt":0.2358614872933218,"score_spread":0.2147204578373829,"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."}}