{"id":"W7106799148","doi":"10.6084/m9.figshare.30721340.v1","title":"CARI+ for General Population Centres","year":2025,"lang":"","type":"dataset","venue":"Figshare","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Census; Table (database); Data collection; Statistical analysis","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":[0.000714243,0.001735158,0.001720903,0.004543488,0.0009590453,0.002882206,0.002965946,0.001705807,0.1845383],"category_scores_gemma":[0.009341582,0.0007325529,0.001711678,0.01238415,0.0003643495,0.0009852833,0.001745994,0.001676207,0.1071711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004800401,"about_ca_system_score_gemma":0.009622435,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6461239,"about_ca_topic_score_gemma":0.6946182,"domain_scores_codex":[0.9989523,0.0001038113,0.00009131265,0.0002870422,0.0002773557,0.0002881517],"domain_scores_gemma":[0.9956054,0.000816768,0.0003498993,0.0006585072,0.002106977,0.0004624264],"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":[0.00002661488,0.000004429899,0.0006769376,0.0002576816,0.00002209051,0.000006916926,0.000010405,0.0002173166,0.00001198749,0.0002680944,0.9970607,0.0014367],"study_design_scores_gemma":[0.0002936018,0.00001212591,0.01166399,0.0005615304,0.00005314326,0.00003706309,0.0001000036,0.000736948,0.0001377987,0.001358018,0.9850013,0.00004435621],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000302658,0.00001897806,0.00001334107,0.00002170541,0.000007454963,0.000003252117,0.9994085,0.00009229503,0.0004042955],"genre_scores_gemma":[0.0004266945,0.00004353147,0.0001504264,0.00004552284,0.000007118804,0.0000361512,0.9979603,0.00008629824,0.001243926],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8154616,"threshold_uncertainty_score":0.7119203,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04460711450728728,"score_gpt":0.3194767738577343,"score_spread":0.274869659350447,"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."}}