{"id":"W6950450275","doi":"10.5281/zenodo.6869723","title":"Sorex haydeni Baird 1857","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; Subgenus; Population; Introgression; Araneus","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":[0.00009881944,0.0005110708,0.000350973,0.00097092,0.00110674,0.000434248,0.000489374,0.0004563231,0.01592143],"category_scores_gemma":[0.0001920983,0.0002404991,0.0001202936,0.0004922612,0.0003395592,0.0009530613,0.0004623263,0.0004506042,0.006578142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007813397,"about_ca_system_score_gemma":0.0001974601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01908374,"about_ca_topic_score_gemma":0.04666188,"domain_scores_codex":[0.9998801,0.000006557569,0.000008689306,0.00005197415,0.00003890142,0.00001378254],"domain_scores_gemma":[0.9998907,0.0000147501,0.00004468513,0.000006629132,0.00003076487,0.00001247444],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004326076,0.0002651404,0.07012018,0.001269678,0.0001051792,0.003432503,0.004288372,0.0007427471,0.04754293,0.005417315,0.09132914,0.7750543],"study_design_scores_gemma":[0.00009107135,0.0003638979,0.4272482,0.0004989968,0.00008407652,0.004791226,0.002208537,0.0004083063,0.002816091,0.001102289,0.5603611,0.000026105],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3940727,0.03457927,0.004161842,0.0009188401,0.001275398,0.0006553769,0.01006842,0.0007084378,0.5535598],"genre_scores_gemma":[0.8928008,0.005793208,0.00372273,0.0008736802,0.0002681682,0.0001285791,0.005882297,0.00003639293,0.09049419],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01908374,"threshold_uncertainty_score":0.05326253,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05187524645399671,"score_gpt":0.2427466304934939,"score_spread":0.1908713840394972,"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."}}