{"id":"W3173730083","doi":"10.1093/jmammal/gyab069","title":"Innovations that changed Mammalogy: metrification","year":2021,"lang":"en","type":"article","venue":"Journal of Mammalogy","topic":"Sephardic Jews and Inquisition Studies","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Zoology; Geography; Biology; Library science; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003690037,0.00009024271,0.0002658046,0.0002696015,0.0002170809,0.00007814568,0.0001034836,0.00004206762,0.00353793],"category_scores_gemma":[0.0001394904,0.00007420964,0.000116147,0.0001278838,0.0001407557,0.0002319402,0.00003079116,0.0001784526,0.00007721288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003402584,"about_ca_system_score_gemma":0.00007391853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008395429,"about_ca_topic_score_gemma":0.00005791594,"domain_scores_codex":[0.9990505,0.00007882537,0.000405313,0.0000982536,0.0002155042,0.0001516162],"domain_scores_gemma":[0.9983435,0.00009819902,0.00035782,0.0001263861,0.001031954,0.00004211526],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005500066,0.0002326008,0.002123525,0.00003218714,0.0004716289,0.0001759039,0.01279282,0.000003869569,0.002767702,0.8433998,0.1256748,0.01227014],"study_design_scores_gemma":[0.000559587,0.0001086655,0.006024833,0.00002088955,0.00007043131,0.0002087835,0.007527113,0.000003378869,0.001447552,0.004358656,0.9795645,0.0001055408],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6023912,0.01634182,0.006005628,0.07013302,0.01440861,0.0003086544,0.0001117356,0.0001090204,0.2901903],"genre_scores_gemma":[0.9904901,0.0004137988,0.0003381664,0.001883059,0.002144612,0.000004214709,0.00001723749,0.00001224444,0.00469654],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8538898,"threshold_uncertainty_score":0.997373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1304067258511168,"score_gpt":0.281391914269268,"score_spread":0.1509851884181512,"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."}}