{"id":"W7131284196","doi":"10.25549/wpacards-c8-128527","title":"WPA household census for 813 1/2 N RAMPART BLVD, Los Angeles","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":[0.000657175,0.001367145,0.001221665,0.003271056,0.0005850501,0.002168481,0.001494711,0.0005336585,0.09907469],"category_scores_gemma":[0.004037759,0.0006903944,0.0005914645,0.009148876,0.0001908836,0.001374376,0.0009485941,0.001494621,0.110018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002200016,"about_ca_system_score_gemma":0.003666747,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.15123,"about_ca_topic_score_gemma":0.1609634,"domain_scores_codex":[0.9991834,0.00009574364,0.0001100016,0.0002296118,0.0002803981,0.0001008136],"domain_scores_gemma":[0.9977086,0.0002625274,0.0002375749,0.000257244,0.001378688,0.0001552516],"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":[0.000006461069,0.000005178648,0.0005590986,0.0001181197,0.000006050725,0.000005435802,0.000009955107,0.00003928889,0.000006715091,0.0002024794,0.9974843,0.001556818],"study_design_scores_gemma":[0.00005936866,0.000006825895,0.01341719,0.0003313454,0.0000184613,0.00002411167,0.000152869,0.0002146884,0.00006832183,0.0003994882,0.9852909,0.00001633947],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001156935,0.00005654777,0.0000460642,0.0000445256,0.00001402749,0.000009232578,0.9980776,0.00006370333,0.00157258],"genre_scores_gemma":[0.0005757305,0.0001777891,0.0001707715,0.00003627899,0.00001270073,0.0001176886,0.9950399,0.00005090479,0.003818228],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.15123,"threshold_uncertainty_score":0.3314379,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01667659186360225,"score_gpt":0.1782408261746444,"score_spread":0.1615642343110422,"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."}}