{"id":"W6889458748","doi":"10.25549/wpacards-c8-131868","title":"WPA block face card for household census (block 428) in Los Angeles","year":2014,"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; Block (permutation group theory); Face (sociological concept); Quarter (Canadian coin); Population","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":[0.0006020298,0.001619129,0.00125465,0.00501085,0.0008042147,0.001969281,0.001895462,0.0011778,0.1110869],"category_scores_gemma":[0.005026785,0.000816584,0.0006954113,0.00907848,0.0002937812,0.001295358,0.001588338,0.001303004,0.1414917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001783634,"about_ca_system_score_gemma":0.003853628,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1441714,"about_ca_topic_score_gemma":0.1957985,"domain_scores_codex":[0.9991511,0.0000898607,0.00009685432,0.000220354,0.0002680466,0.000173819],"domain_scores_gemma":[0.9970134,0.0003410218,0.0003707816,0.0005170797,0.001461705,0.0002960209],"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":[0.00002573394,0.00001243387,0.00106184,0.00009521028,0.000008700132,0.000008760334,0.00001388459,0.00009830202,0.00002487684,0.0001272426,0.9969336,0.001589354],"study_design_scores_gemma":[0.0001240538,0.00001322913,0.02144187,0.0002153309,0.00002275411,0.00003755568,0.0002137157,0.0005794016,0.0003125087,0.0004835118,0.9765183,0.00003764856],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002095616,0.00001573449,0.00003571992,0.00002407894,0.00001030211,0.000009565116,0.9987357,0.0001194386,0.0008398422],"genre_scores_gemma":[0.0004426296,0.00002807826,0.0001118114,0.00001732893,0.000005687507,0.00007574439,0.9970943,0.00003175285,0.00219268],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1441714,"threshold_uncertainty_score":0.3716225,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01331507156503517,"score_gpt":0.1755311314069765,"score_spread":0.1622160598419413,"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."}}