{"id":"W2109234365","doi":"10.1177/0956797610395396","title":"What’s in a Name?","year":2010,"lang":"en","type":"article","venue":"Psychological Science","topic":"Names, Identity, and Discrimination Research","field":"Social Sciences","cited_by":123,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Frontier; Independence (probability theory); Settlement (finance); Psychology; Demography; Geography; Genealogy; History; Sociology; Archaeology","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":[0.002020397,0.0001361269,0.0002458657,0.0005246366,0.002830361,0.00235488,0.0003078379,0.000911781,0.005978471],"category_scores_gemma":[0.01102752,0.00007683731,0.0001882017,0.0006852794,0.004167659,0.004517731,0.001300149,0.001309525,0.001140206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007726486,"about_ca_system_score_gemma":0.0007253457,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002376943,"about_ca_topic_score_gemma":0.003187973,"domain_scores_codex":[0.9984498,0.0008607642,0.00006636295,0.0001287922,0.0003071807,0.0001869768],"domain_scores_gemma":[0.9961421,0.001164871,0.001102676,0.0003389505,0.0004862613,0.0007651161],"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":[0.0003542874,0.0002741462,0.1971173,0.0003934757,0.00009396715,0.004730574,0.2979287,0.0001566257,0.006063467,0.1388491,0.03939856,0.3146398],"study_design_scores_gemma":[0.0000325933,0.0004843869,0.1181531,0.0007572968,0.00008061159,0.01740947,0.460454,0.0004115873,0.001893462,0.06649822,0.3336768,0.0001483284],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8318543,0.0057304,0.005382153,0.04351834,0.001823397,0.00002153105,0.0001239899,0.00005017926,0.1114956],"genre_scores_gemma":[0.9899031,0.0013153,0.0009546996,0.002461186,0.0001597221,0.000004710413,0.00003118053,0.00001360412,0.00515633],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005978471,"threshold_uncertainty_score":0.01999998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09028082775589266,"score_gpt":0.4983204566390604,"score_spread":0.4080396288831677,"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."}}