{"id":"W7095095678","doi":"","title":"Does Distance Matter? By","year":2003,"lang":"en","type":"article","venue":"","topic":"Census and Population Estimation","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"George (robot); Advice (programming); Set (abstract data type); Control (management)","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":[0.002877738,0.0003510013,0.000750042,0.001018373,0.001831973,0.005857414,0.0011031,0.00144328,0.1949922],"category_scores_gemma":[0.0304904,0.0001560368,0.0004853538,0.002541052,0.002022551,0.007841147,0.001829749,0.002309923,0.02352828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002218187,"about_ca_system_score_gemma":0.001551027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01411063,"about_ca_topic_score_gemma":0.009020641,"domain_scores_codex":[0.9974328,0.001098872,0.000101617,0.0005976388,0.0004122526,0.0003568535],"domain_scores_gemma":[0.9877358,0.006568866,0.001396436,0.00092645,0.002189466,0.001182838],"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":[0.0004631582,0.0000838338,0.05088224,0.0004927309,0.0001472566,0.0002703748,0.002835011,0.000326012,0.0001203214,0.3601853,0.4885658,0.09562793],"study_design_scores_gemma":[0.0001421469,0.0001264738,0.07201784,0.001078312,0.0001794208,0.0007994451,0.009125042,0.0008179302,0.000284453,0.2557999,0.6595672,0.00006180597],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07001402,0.02716718,0.005484639,0.3123192,0.005270329,0.00005763247,0.008120355,0.0001818921,0.5713847],"genre_scores_gemma":[0.8231876,0.01056196,0.001465855,0.02407885,0.003574775,0.00007838297,0.003643762,0.0003445475,0.1330643],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1949922,"threshold_uncertainty_score":0.6523138,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02348564280436655,"score_gpt":0.3008271220736848,"score_spread":0.2773414792693183,"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."}}