{"id":"W7097620646","doi":"","title":"A Hitchhiker’s Guide to the World’s Household Panel Data Sets’, Australian Economic Review 34","year":2001,"lang":"en","type":"article","venue":"","topic":"Income, Poverty, and Inequality","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Panel data; Panel Study of Income Dynamics; British Household Panel Survey; German; Documentation; Data collection; Panel survey; Survey data collection","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":[0.03650624,0.001676158,0.003513833,0.02444836,0.001970868,0.004053493,0.004166723,0.001872211,0.05026861],"category_scores_gemma":[0.1158044,0.004160118,0.002094942,0.05253704,0.002280024,0.006669124,0.004633158,0.005990197,0.02726323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004385654,"about_ca_system_score_gemma":0.01089407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07692787,"about_ca_topic_score_gemma":0.07020006,"domain_scores_codex":[0.9780477,0.01172128,0.003772103,0.0009663537,0.005085117,0.0004076092],"domain_scores_gemma":[0.9057754,0.05473326,0.003114525,0.01282288,0.0223043,0.001249634],"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":[0.00002274115,0.00007348022,0.001488687,0.00172887,0.00004626479,0.0001039664,0.0005996028,0.0009713402,0.0001261971,0.01778236,0.8391449,0.1379116],"study_design_scores_gemma":[0.00002157807,0.00005137587,0.02152654,0.002513263,0.0000283781,0.0001760999,0.0004772202,0.001197243,0.0001297429,0.01262647,0.961188,0.00006413109],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"review","genre_scores_codex":[0.004656459,0.1977283,0.2861616,0.04867826,0.01039485,0.01187047,0.2931342,0.007206119,0.1401697],"genre_scores_gemma":[0.02388985,0.2213243,0.3874092,0.01255417,0.005649826,0.02539657,0.2077448,0.004761393,0.11127],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.07692787,"threshold_uncertainty_score":0.1930658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2403451381160291,"score_gpt":0.4060144219071715,"score_spread":0.1656692837911423,"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."}}