{"id":"W6968412575","doi":"10.5281/zenodo.4571505","title":"Ondatra zibethicus","year":2018,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Ecology and biodiversity studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Peninsula; Population; China; East Asia; Wetland; Distribution (mathematics)","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":[0.00006287589,0.0005910075,0.0002927243,0.00126279,0.002112165,0.0004617825,0.0002601512,0.0002167649,0.01873514],"category_scores_gemma":[0.000123482,0.0001905646,0.000129009,0.0009738076,0.0006218757,0.0004174725,0.0007915341,0.0004722679,0.003850483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008318876,"about_ca_system_score_gemma":0.000486976,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05501818,"about_ca_topic_score_gemma":0.2182814,"domain_scores_codex":[0.9998938,0.000007024936,0.000009457611,0.00003368681,0.00003014369,0.00002597065],"domain_scores_gemma":[0.9999342,0.000006038822,0.00002815837,0.000005758631,0.00001443432,0.00001143252],"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":[0.0007390538,0.0002069356,0.1141611,0.001544821,0.0001562428,0.008717355,0.008325063,0.0008590855,0.05910169,0.01072683,0.03686387,0.758598],"study_design_scores_gemma":[0.00003723759,0.00006825657,0.4274358,0.0002942345,0.00008278499,0.004197623,0.004664546,0.0002512512,0.002272404,0.001046933,0.55961,0.00003894327],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4828069,0.01074742,0.001844536,0.0007701602,0.0006849437,0.0002906844,0.005758271,0.0002487356,0.4968483],"genre_scores_gemma":[0.9172845,0.003548047,0.002696626,0.0003469175,0.00008757973,0.00008296684,0.00324679,0.00006823293,0.07263836],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05501818,"threshold_uncertainty_score":0.1093959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03274530633569341,"score_gpt":0.2274409705378652,"score_spread":0.1946956642021718,"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."}}