{"id":"W7131311380","doi":"10.25549/wpacards-c8-160308","title":"WPA household census for 837 MAPLE 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":[0.0006268982,0.001212677,0.001077208,0.003242585,0.0005820997,0.001830016,0.001405356,0.0005175521,0.08269376],"category_scores_gemma":[0.004043996,0.0006031533,0.0005275518,0.009533579,0.0001828892,0.001231443,0.0009229665,0.001457258,0.09614529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00182183,"about_ca_system_score_gemma":0.003507443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1317252,"about_ca_topic_score_gemma":0.1423354,"domain_scores_codex":[0.999245,0.00009587419,0.0001011305,0.0002188137,0.0002469412,0.00009218266],"domain_scores_gemma":[0.9976998,0.0002559995,0.0002248919,0.0002375262,0.00143248,0.0001493124],"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":[0.000006538537,0.00000524184,0.0006699188,0.0001019022,0.000006973618,0.000006279744,0.00001067744,0.00004365533,0.000006906513,0.00020487,0.9975031,0.001433904],"study_design_scores_gemma":[0.00006050948,0.000006849032,0.01541358,0.0003024029,0.00001987885,0.00002819857,0.0001761895,0.000205309,0.00006323373,0.0004753665,0.9832326,0.00001598349],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001221833,0.00005236364,0.0000420669,0.000048272,0.00001446575,0.000008089748,0.9983684,0.00004745354,0.001296714],"genre_scores_gemma":[0.0005787057,0.0001465653,0.0001475282,0.00003868005,0.00001193603,0.0001034771,0.9960619,0.00003796181,0.002873323],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1317252,"threshold_uncertainty_score":0.2766382,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01434784017023603,"score_gpt":0.1735630475308276,"score_spread":0.1592152073605916,"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."}}