{"id":"W6913006561","doi":"10.5281/zenodo.6869708","title":"Sorex cinereus","year":2018,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Banana Cultivation and Research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sorex; Shrew; Subspecies; Subgenus; Population","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":[0.00007641955,0.000593322,0.0002444457,0.001200738,0.0008522515,0.0004016709,0.0002778365,0.0002944413,0.02290894],"category_scores_gemma":[0.0001304454,0.0001585819,0.0002347803,0.0004754669,0.0002316274,0.0005275038,0.0004812147,0.0003468939,0.01030337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004116012,"about_ca_system_score_gemma":0.0002002512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01666792,"about_ca_topic_score_gemma":0.0398755,"domain_scores_codex":[0.9998639,0.000007920709,0.000009786687,0.00005575289,0.00003917651,0.00002339975],"domain_scores_gemma":[0.9998816,0.0000133872,0.00003769802,0.00001041049,0.00003690125,0.00001993646],"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":[0.0007243048,0.000485095,0.08552173,0.001111713,0.0001003026,0.003749591,0.001828906,0.0005039634,0.153735,0.003061365,0.02789295,0.721285],"study_design_scores_gemma":[0.00006512455,0.0004733804,0.6338994,0.0003642534,0.00007903537,0.00796782,0.002049602,0.0004580549,0.007519124,0.0005184392,0.3465598,0.00004603634],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5009907,0.007979266,0.002805083,0.0003488649,0.0003899042,0.0003171671,0.009191334,0.0006366014,0.4773411],"genre_scores_gemma":[0.8469238,0.002839189,0.003675302,0.0005985349,0.00009045597,0.00006407875,0.009742543,0.00006447444,0.1360017],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02290894,"threshold_uncertainty_score":0.0766381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05391770226341856,"score_gpt":0.2447534413619066,"score_spread":0.1908357390984881,"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."}}