{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004255044,0.00008173292,0.00007747,0.00003421225,0.002432472,0.0004324105,0.000701931,0.00005487882,0.05642761],"category_scores_gemma":[0.0003078169,0.00003669817,0.00003893642,0.0006222932,0.0002106241,0.0001275016,0.0005263303,0.0001437286,0.01469039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003807703,"about_ca_system_score_gemma":8.320284e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003686388,"about_ca_topic_score_gemma":0.000003224861,"domain_scores_codex":[0.9988139,0.0001792075,0.0001353361,0.000275843,0.0002892558,0.0003065027],"domain_scores_gemma":[0.9991246,0.00002223297,0.00004207426,0.0001033484,0.0005553718,0.0001523331],"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":[0.00003400947,0.00008341939,0.00001264409,0.000005342866,0.00001206642,0.000002954732,0.0002048725,5.829527e-7,0.1527249,0.002698949,0.2376236,0.6065967],"study_design_scores_gemma":[0.0001354973,0.0002934805,0.01060862,0.000007537016,0.000002105711,0.00002143875,0.0001926706,0.00009437434,0.002122044,0.0001301479,0.9862936,0.00009855076],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5304167,0.00005105125,0.000179458,0.006654605,0.0001437468,0.0004273769,0.0001495394,0.001075366,0.4609022],"genre_scores_gemma":[0.9952506,0.00002751281,0.00006635195,0.0002516226,0.0005418371,1.907237e-8,0.0007217363,0.00005090767,0.003089453],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7486699,"threshold_uncertainty_score":0.9988662,"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."}}