{"id":"W6964378400","doi":"10.25549/wpacards-m10789","title":"WPA household census for 1651 MALTMAN, Los Angeles","year":2012,"lang":"en","type":"dataset","venue":"University of Southern California Digital Library","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Census; Population; Work (physics); Poverty; Quarter (Canadian coin)","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":[0.000522293,0.001701533,0.001467578,0.008281496,0.0007936281,0.002113638,0.001718337,0.0008741333,0.07657457],"category_scores_gemma":[0.004551183,0.001100839,0.0007938952,0.02166244,0.0002120729,0.001306377,0.001175227,0.001380923,0.07075852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002746003,"about_ca_system_score_gemma":0.005495434,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3491692,"about_ca_topic_score_gemma":0.4168889,"domain_scores_codex":[0.9993227,0.00006153055,0.0001081757,0.0001665095,0.000207063,0.0001341468],"domain_scores_gemma":[0.9972215,0.0002859274,0.0004285669,0.000295015,0.001527181,0.0002418357],"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":[0.00003023752,0.00001506676,0.002124092,0.00022793,0.00002032864,0.0000137078,0.00003628921,0.0001293406,0.00001779,0.0002164942,0.9950196,0.00214919],"study_design_scores_gemma":[0.0001431222,0.0000129212,0.0544047,0.0004007133,0.00005316708,0.000047089,0.0004187021,0.000442821,0.0002121111,0.0004150796,0.9434096,0.00003995595],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002423092,0.00003785032,0.00002806506,0.00002575532,0.000007389594,0.000007671309,0.9988568,0.00006261859,0.0007315325],"genre_scores_gemma":[0.0008287984,0.000125219,0.0001107928,0.00002135173,0.000007853213,0.0001073912,0.9949444,0.00004163658,0.003812649],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3491692,"threshold_uncertainty_score":0.6942737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0176617725118018,"score_gpt":0.1791815829274343,"score_spread":0.1615198104156325,"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."}}