{"id":"W7131281742","doi":"10.25549/wpacards-c8-159016","title":"WPA household census for 117 SOUTH DICKERSON STREET, 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); Value (mathematics); American Community Survey","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":[0.0006583249,0.001160915,0.001034521,0.003227455,0.0005830553,0.001887982,0.001360442,0.0004922021,0.08651558],"category_scores_gemma":[0.004193559,0.0005642531,0.0005129172,0.009444677,0.000179402,0.001241683,0.0009200067,0.001427233,0.09056328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001784859,"about_ca_system_score_gemma":0.00357843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1269324,"about_ca_topic_score_gemma":0.1393355,"domain_scores_codex":[0.9991817,0.0001068556,0.0001142254,0.0002291302,0.0002694108,0.00009868365],"domain_scores_gemma":[0.9976301,0.0002715789,0.0002411518,0.0002481485,0.001449592,0.0001593524],"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":[0.000006737531,0.000005245073,0.0006969353,0.0001094827,0.000006965731,0.000006445899,0.00001212421,0.00004334596,0.00000770321,0.0002532093,0.9973266,0.001525149],"study_design_scores_gemma":[0.0000550023,0.000006225422,0.01509214,0.0002903294,0.00001790785,0.00002749553,0.0001717871,0.0001789,0.00006022162,0.000499581,0.9835849,0.00001557284],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001199941,0.00005338927,0.00004311193,0.00004575266,0.00001512583,0.00000935728,0.9983033,0.0000436739,0.001366319],"genre_scores_gemma":[0.0005618327,0.0001501558,0.0001540001,0.00003972589,0.00001225003,0.0001067474,0.9960638,0.00003926206,0.002872268],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1269324,"threshold_uncertainty_score":0.2894234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01513338909192717,"score_gpt":0.1752359574146162,"score_spread":0.160102568322689,"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."}}