{"id":"W6901921391","doi":"10.6084/m9.figshare.20317717.v1","title":"Additional file 1 of Understanding the dog population in the Republic of Ireland: insight from existing data sources?","year":2022,"lang":"en","type":"article","venue":"Figshare","topic":"Rabies epidemiology and control","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Table (database); Irish; Population; Commission; Club; Quarter (Canadian coin); Welfare","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004486832,0.0009793167,0.001171312,0.005828641,0.000784374,0.002740079,0.002291414,0.00133331,0.7812519],"category_scores_gemma":[0.06675632,0.0007588425,0.0009816824,0.01166314,0.0004209111,0.003594429,0.002354376,0.001333075,0.1521425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002556709,"about_ca_system_score_gemma":0.005512394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03489831,"about_ca_topic_score_gemma":0.03996781,"domain_scores_codex":[0.9974023,0.000446988,0.0006137142,0.0005175049,0.0006182014,0.0004012618],"domain_scores_gemma":[0.9626805,0.02524924,0.00270193,0.001837379,0.006713097,0.0008178008],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00009349804,0.00002927984,0.00207208,0.002317059,0.0000195366,0.00003806943,0.00007782851,0.0001803998,0.00001791251,0.0006365158,0.9881656,0.006352091],"study_design_scores_gemma":[0.001137177,0.00007884029,0.02360274,0.00634851,0.00008829778,0.0001818966,0.001515415,0.0007196653,0.0002320073,0.004304487,0.961681,0.0001099573],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.00007498105,0.00001338931,0.0000800101,0.0001166033,0.00001790146,0.00007229889,0.9987102,0.00005931867,0.0008553807],"genre_scores_gemma":[0.004906701,0.0002351936,0.003229016,0.000653904,0.00008932683,0.003231762,0.9800919,0.0004733307,0.007088777],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7812519,"threshold_uncertainty_score":0.3120176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.140442917647809,"score_gpt":0.2839215995256901,"score_spread":0.1434786818778811,"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."}}