{"id":"W6929911561","doi":"10.5281/zenodo.11324428","title":"Synaptomys (Synaptomys) cooperi Baird 1857","year":2005,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Swamp; IUCN Red List; Bog; Subgenus; Range (aeronautics); Mesophyte","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":[0.0001536403,0.0006901224,0.000348239,0.001423832,0.002077625,0.0004662444,0.0005942695,0.0004902852,0.008372021],"category_scores_gemma":[0.0003993612,0.0002709484,0.0001809889,0.0008501578,0.0007471018,0.001199831,0.0009610655,0.0004446802,0.003337703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001433503,"about_ca_system_score_gemma":0.0007506948,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03340336,"about_ca_topic_score_gemma":0.06061319,"domain_scores_codex":[0.9998515,0.000009429905,0.00001074551,0.00004076911,0.0000664347,0.00002124207],"domain_scores_gemma":[0.9998222,0.00001455356,0.00006685591,0.00001235873,0.00005795572,0.00002615036],"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":[0.0004629013,0.0001164184,0.1017282,0.002041916,0.0001760049,0.002757639,0.004886632,0.001141369,0.03743921,0.01205882,0.1636917,0.6734992],"study_design_scores_gemma":[0.00003092583,0.0001514346,0.3351317,0.0004448285,0.00009440362,0.005878937,0.001135378,0.000558676,0.002981243,0.00173698,0.6518173,0.00003814575],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4022042,0.07710384,0.01051579,0.001351057,0.001260361,0.000507303,0.007176633,0.001208164,0.4986726],"genre_scores_gemma":[0.9398422,0.01288419,0.004453718,0.000683034,0.0002609547,0.00009135377,0.003529088,0.00007882965,0.03817666],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03340336,"threshold_uncertainty_score":0.06641787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05204197913702701,"score_gpt":0.214337093317063,"score_spread":0.1622951141800359,"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."}}