{"id":"W6968453687","doi":"10.5281/zenodo.6514521","title":"Cervus canadensis Erxleben 1777","year":2011,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Rump; Subspecies; Antler; Coat; Bovidae; Cervus elaphus","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":[0.000119476,0.0007856169,0.0002807308,0.002430205,0.00187746,0.0005343785,0.0005807091,0.0003789241,0.02414814],"category_scores_gemma":[0.0002465592,0.0002038481,0.0001373853,0.001206682,0.0004392547,0.0005827795,0.0008562616,0.0005502905,0.01096069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001210834,"about_ca_system_score_gemma":0.0005962558,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1486166,"about_ca_topic_score_gemma":0.391861,"domain_scores_codex":[0.9998013,0.000005253377,0.000009303333,0.00007987478,0.0000671092,0.00003718794],"domain_scores_gemma":[0.9998883,0.00001303677,0.00003186364,0.00001153203,0.00003627044,0.00001905944],"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":[0.000343372,0.0001706209,0.07319228,0.0007888097,0.0001164254,0.001797192,0.002655858,0.0006509391,0.01145035,0.006622012,0.1237937,0.7784183],"study_design_scores_gemma":[0.00001673916,0.00003551981,0.116938,0.0003580059,0.00004505149,0.001178778,0.0008326992,0.00008019235,0.0009017515,0.0005480294,0.8790475,0.00001774799],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06938045,0.01502831,0.0007847876,0.0003621832,0.0006471032,0.0003157855,0.012004,0.0003076853,0.9011698],"genre_scores_gemma":[0.5966951,0.01680372,0.003800424,0.001150274,0.000377832,0.000194944,0.04058469,0.0001429645,0.34025],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1486166,"threshold_uncertainty_score":0.2955031,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03841258406135961,"score_gpt":0.2046361153676459,"score_spread":0.1662235313062863,"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."}}