{"id":"W6931458688","doi":"10.5281/zenodo.6869754","title":"Sorex albibarbis","year":2018,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Bat Biology and Ecology Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Subspecies; Shrew; Subgenus; Sorex; White (mutation); Dorsum","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":[0.00008133677,0.0005922111,0.00020772,0.001356021,0.0006976696,0.0003790601,0.0002558849,0.0002074825,0.03360006],"category_scores_gemma":[0.0001201462,0.0001519738,0.0002080346,0.0004499116,0.0001745442,0.0006085934,0.0005195101,0.0002430418,0.01467239],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003121494,"about_ca_system_score_gemma":0.0001151639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007227615,"about_ca_topic_score_gemma":0.01443268,"domain_scores_codex":[0.9999027,0.00000694493,0.000009354626,0.00003735828,0.00002667573,0.00001695365],"domain_scores_gemma":[0.9999002,0.0000132414,0.00003698438,0.000009380242,0.00001932698,0.00002091493],"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":[0.0006619,0.0004468173,0.09083641,0.0005526014,0.000123641,0.001977468,0.001043015,0.0004391228,0.1332997,0.002389134,0.02854298,0.7396871],"study_design_scores_gemma":[0.00006077586,0.0002684963,0.7182555,0.0001780646,0.00006353384,0.003760173,0.001036422,0.0004526907,0.006130486,0.0005105334,0.2692605,0.00002279312],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5427365,0.005763666,0.002865961,0.000284247,0.0002863898,0.0003344167,0.01021276,0.001104679,0.4364114],"genre_scores_gemma":[0.864811,0.001789602,0.003676249,0.0003425518,0.00007462284,0.00009238192,0.01101218,0.00008393344,0.1181175],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03360006,"threshold_uncertainty_score":0.1124034,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04129894265478054,"score_gpt":0.2283723819254089,"score_spread":0.1870734392706283,"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."}}