{"id":"W6931726075","doi":"10.5281/zenodo.6710583","title":"Phenacomys ungava Merriam 1889","year":2017,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Data Quality and Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Vole; Subspecies; Boreal; Dorsum; Snout; Bay","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":[0.00006141981,0.0005091926,0.0001816975,0.0009629013,0.001105362,0.0002453451,0.0003725191,0.0002598988,0.009035355],"category_scores_gemma":[0.0001422412,0.0001821176,0.0001338441,0.0006461359,0.0004226745,0.0003948482,0.0005508329,0.0003203065,0.002746678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007961034,"about_ca_system_score_gemma":0.0003182828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04464154,"about_ca_topic_score_gemma":0.1279956,"domain_scores_codex":[0.9999149,0.00000830105,0.000005952691,0.00002507652,0.0000261091,0.00001970809],"domain_scores_gemma":[0.9999431,0.000007035729,0.00002384557,0.000004852711,0.00001362049,0.000007537502],"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":[0.0001795247,0.00008326601,0.06317052,0.0004089951,0.00005022356,0.002934245,0.002636972,0.0007852744,0.01062556,0.006488766,0.1339704,0.7786661],"study_design_scores_gemma":[0.00002523753,0.00007190307,0.4251228,0.0002946627,0.0000329538,0.002038673,0.0009738571,0.000284491,0.000781072,0.0006954449,0.5696645,0.00001438133],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2454194,0.02562223,0.002024017,0.001604919,0.0008916596,0.0003622136,0.008792227,0.0005319252,0.7147513],"genre_scores_gemma":[0.9093075,0.006093929,0.002277597,0.0007142195,0.0002754793,0.0002021045,0.005420303,0.00004159322,0.0756674],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04464154,"threshold_uncertainty_score":0.08876336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2581520943643967,"score_gpt":0.3944198436953972,"score_spread":0.1362677493310005,"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."}}