{"id":"W7131217301","doi":"10.25549/wpacards-c8-150924","title":"WPA household census for 4858 1/2 58TH 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; American Community Survey; Administration (probate law); Public use","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":[0.0006825874,0.001266988,0.001082395,0.003253663,0.0006035307,0.002014949,0.001416217,0.0005659967,0.09639715],"category_scores_gemma":[0.004142518,0.0006217183,0.0005556568,0.009616152,0.0001966164,0.001266983,0.0009348441,0.001497142,0.1121703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00191608,"about_ca_system_score_gemma":0.003775482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1250928,"about_ca_topic_score_gemma":0.141729,"domain_scores_codex":[0.9991579,0.0001061595,0.0001125906,0.0002356843,0.0002883031,0.00009942085],"domain_scores_gemma":[0.9976383,0.0002866275,0.0002425892,0.0002705592,0.001393944,0.0001679157],"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":[0.000006192514,0.000005813069,0.0005999058,0.00009592429,0.000005402624,0.000005432585,0.00001049802,0.00004183295,0.000007381047,0.0001919169,0.9976349,0.001394793],"study_design_scores_gemma":[0.00006198292,0.000006913108,0.01447615,0.0002878428,0.0000166861,0.00002431352,0.0001674593,0.0001968012,0.00006706914,0.0004358023,0.9842434,0.00001558849],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001175889,0.0000434562,0.00003912963,0.00004322634,0.00001422743,0.000009296885,0.9982702,0.00004712508,0.001415675],"genre_scores_gemma":[0.0005083404,0.000134206,0.0001561143,0.00003512393,0.00001176546,0.0001146417,0.9958231,0.00004151556,0.003175189],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1250928,"threshold_uncertainty_score":0.3224806,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0143933090767922,"score_gpt":0.175360790124739,"score_spread":0.1609674810479468,"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."}}