{"id":"W7131301643","doi":"10.25549/wpacards-c8-135635","title":"WPA household census for 13908 N WILMINGTON AVE, Los Angeles County","year":2021,"lang":"en","type":"dataset","venue":"University of Southern California Digital Library","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Quarter (Canadian coin); Data collection; Administration (probate law); American Community Survey; Value (mathematics)","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":[0.0007048062,0.001267542,0.001092773,0.003404319,0.0005872029,0.00200152,0.001452528,0.0005306532,0.0833283],"category_scores_gemma":[0.004431034,0.0005882838,0.0005483305,0.009412706,0.0001959236,0.001330452,0.0009999698,0.001495719,0.1005009],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001876659,"about_ca_system_score_gemma":0.003542391,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1181414,"about_ca_topic_score_gemma":0.1322629,"domain_scores_codex":[0.9991372,0.0001085167,0.0001098954,0.0002558305,0.0002848486,0.0001035847],"domain_scores_gemma":[0.9975279,0.0003051139,0.0002532969,0.0002832136,0.001459849,0.0001706823],"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":[0.000006211689,0.000005016156,0.0006348661,0.00009273771,0.000006401826,0.000005336529,0.000009998171,0.00004179107,0.000007079812,0.0002174822,0.997551,0.001422045],"study_design_scores_gemma":[0.00005334677,0.000005661228,0.01197927,0.0002627208,0.00001614905,0.00002383104,0.0001514911,0.0001967847,0.00006209095,0.0004700326,0.986764,0.00001455532],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000107358,0.00004406261,0.00004290644,0.00004365617,0.00001382619,0.000007531555,0.9984587,0.0000496857,0.001232242],"genre_scores_gemma":[0.0004542482,0.000111327,0.0001433533,0.00003187306,0.000009965897,0.00008488812,0.9967673,0.00003573492,0.002361389],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1181414,"threshold_uncertainty_score":0.278761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01357341693732065,"score_gpt":0.1747471603964448,"score_spread":0.1611737434591241,"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."}}