{"id":"W2154965051","doi":"10.1002/acp.830","title":"Estimating national populations: cross‐cultural differences and availability effects","year":2002,"lang":"en","type":"article","venue":"Applied Cognitive Psychology","topic":"Child and Animal Learning Development","field":"Psychology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Population; Cross-cultural; Psychology; Cross-cultural studies; Cross country; Estimation; Task (project management); Set (abstract data type); Social psychology; Demography; Demographic economics; Sociology; Economics; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009846806,0.0003143061,0.0003101814,0.0006945394,0.0004858565,0.001059506,0.0005513889,0.0003945048,0.001980658],"category_scores_gemma":[0.04692307,0.0003438872,0.0002775294,0.0004651621,0.001221872,0.001304492,0.001345908,0.0005654934,0.000142161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006418754,"about_ca_system_score_gemma":0.0003081512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01729461,"about_ca_topic_score_gemma":0.01970678,"domain_scores_codex":[0.9964967,0.002254014,0.0001556895,0.0005533408,0.0004521601,0.00008804591],"domain_scores_gemma":[0.9421231,0.04230557,0.006207806,0.00629329,0.002281419,0.0007887832],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001587204,0.0003860637,0.9074542,0.0001771481,0.0006167833,0.0002057095,0.008232519,0.005884832,0.01590405,0.007410974,0.0004301155,0.0517104],"study_design_scores_gemma":[0.00002503671,0.000279385,0.9788098,0.00003861295,0.0001170884,0.0001848566,0.001374445,0.006469987,0.008441268,0.003348629,0.0008512569,0.0000596448],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944094,0.0001232178,0.003017602,0.00003139905,0.000004225096,0.00001633133,0.00005338535,0.000009608742,0.002334862],"genre_scores_gemma":[0.9980135,0.0000394033,0.001715045,0.00002159739,0.000002331773,0.00001506473,0.00005363942,0.000005718243,0.0001337044],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01729461,"threshold_uncertainty_score":0.05207551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07689923155904427,"score_gpt":0.3829900347062178,"score_spread":0.3060908031471735,"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."}}