{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.005049316,0.0001305898,0.0001873096,0.0002365715,0.006686055,0.006566997,0.005546195,0.00004934729,0.03243983],"category_scores_gemma":[0.008239847,0.0001150568,0.00007739878,0.0002970877,0.0003425038,0.001026708,0.005083988,0.0002027106,0.06177329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006595784,"about_ca_system_score_gemma":0.000003313953,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004881658,"about_ca_topic_score_gemma":0.000002043229,"domain_scores_codex":[0.9968244,0.0005660146,0.0004145597,0.0006090046,0.001217419,0.0003686236],"domain_scores_gemma":[0.9965224,0.00008371516,0.0003150315,0.002235522,0.0006270295,0.000216282],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002591079,0.00007414677,0.000005890704,0.000008229616,0.00002164714,0.00001153285,0.0004615314,0.00001099754,0.000329266,0.03990715,0.6729893,0.2861544],"study_design_scores_gemma":[0.0003746809,0.00008085374,0.002216886,0.0000106,0.000008980804,0.00001380409,0.0005554111,0.000266741,0.0001577935,0.006961911,0.9892074,0.0001449438],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.007417501,0.00004358484,0.01943135,0.008561442,0.0005679613,0.0004885264,0.000415407,0.0006238173,0.9624504],"genre_scores_gemma":[0.9750386,0.00007018727,0.0006663878,0.0007005167,0.0003405525,3.991788e-8,0.0006675924,0.000808278,0.02170787],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9676211,"threshold_uncertainty_score":0.9998343,"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."}}