{"id":"W4398296796","doi":"10.7910/dvn/hbsfna/dnlqyv","title":"Canada.tab","year":2010,"lang":"es","type":"dataset","venue":"Harvard Dataverse","topic":"Animal Disease Management and Epidemiology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Ethnic group; Geography; Anthropology; Sociology","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":[0.0008773676,0.002515434,0.001875842,0.006395904,0.001556996,0.0047769,0.003220904,0.002228847,0.3753932],"category_scores_gemma":[0.007895211,0.001312284,0.001155809,0.01499618,0.0007412883,0.002109392,0.002268608,0.001958109,0.3394638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006281735,"about_ca_system_score_gemma":0.01028243,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4443114,"about_ca_topic_score_gemma":0.5906579,"domain_scores_codex":[0.9990377,0.0000988316,0.00008250195,0.0002910584,0.0002648642,0.0002250456],"domain_scores_gemma":[0.9955288,0.001004394,0.0002696227,0.0009644638,0.001592124,0.0006406383],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002045292,0.000004395404,0.0001508475,0.0001640143,0.000009050877,0.000004103121,0.000008164608,0.00007779279,0.00002029189,0.0002842081,0.9983727,0.0008839896],"study_design_scores_gemma":[0.0001296664,0.000003938669,0.0009915963,0.0001362289,0.0000136879,0.00001099306,0.00002898082,0.0001909146,0.0001298029,0.0007646512,0.9975796,0.00001994754],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002069057,0.00002898087,0.00002107555,0.00004585188,0.000008673309,0.000004217687,0.9981697,0.0003984859,0.001302338],"genre_scores_gemma":[0.0003345531,0.00008047592,0.0001555474,0.00008853212,0.000007541488,0.00003284858,0.996714,0.0003706971,0.002215801],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5556886,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02000131865774502,"score_gpt":0.2248972833179626,"score_spread":0.2048959646602176,"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."}}