{"id":"W6967901246","doi":"10.5281/zenodo.11330548","title":"Equus caballus Linnaeus 1758","year":2005,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Animal Diversity and Health Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Equus; Subspecies; Equidae; Endangered species; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001276277,0.0007781887,0.0003216521,0.001447594,0.000715527,0.0002406715,0.0003761214,0.000216092,0.03042778],"category_scores_gemma":[0.0001618975,0.00009182395,0.0000835052,0.0005803713,0.0001180756,0.000606631,0.0004278003,0.0001813629,0.0145273],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003169855,"about_ca_system_score_gemma":0.0001657572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01607617,"about_ca_topic_score_gemma":0.0518727,"domain_scores_codex":[0.99991,0.000008328089,0.00000848192,0.00002351373,0.00003733337,0.00001234591],"domain_scores_gemma":[0.9999536,0.000004202171,0.00001242642,0.000002180954,0.00002085616,0.000006780909],"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":[0.0002213038,0.0001638486,0.02282793,0.0006828589,0.00004377845,0.000749477,0.0008453991,0.0002243406,0.006620778,0.001915898,0.2012976,0.7644067],"study_design_scores_gemma":[0.00001911615,0.0001483626,0.0658796,0.0002950337,0.00002553015,0.00144197,0.0005097246,0.0001680221,0.000586871,0.0005445502,0.9303653,0.00001592646],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1790004,0.04904947,0.004605371,0.00176051,0.002264044,0.0006031566,0.02341455,0.001469541,0.737833],"genre_scores_gemma":[0.4192592,0.02015053,0.01234714,0.002662623,0.0006766447,0.0004737303,0.03811058,0.000150141,0.5061694],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03042778,"threshold_uncertainty_score":0.1017911,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0659891980068981,"score_gpt":0.2407085259603451,"score_spread":0.174719327953447,"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."}}