{"id":"W7131261520","doi":"10.25549/wpacards-c8-156004","title":"WPA household census for 637 1/2 MCDONNELL 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; American Community Survey; Administration (probate law); 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":[0.0007226222,0.001279126,0.001144761,0.003493679,0.0006091174,0.00199912,0.001487641,0.0005526835,0.09344476],"category_scores_gemma":[0.004646435,0.0006680842,0.0005698568,0.01055629,0.0001932279,0.001260473,0.0009841551,0.001488925,0.1028577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002133283,"about_ca_system_score_gemma":0.004098053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1485808,"about_ca_topic_score_gemma":0.1580503,"domain_scores_codex":[0.9990661,0.0001098505,0.0001230154,0.000258056,0.0003305662,0.0001123563],"domain_scores_gemma":[0.9973633,0.0003111481,0.0002627223,0.0002745584,0.001611446,0.0001767131],"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":[0.000006348418,0.000005133673,0.0006066334,0.0001122436,0.000006372274,0.000005574787,0.00001118574,0.00004072089,0.000007933274,0.0002214961,0.9974449,0.001531413],"study_design_scores_gemma":[0.00005897154,0.000006076894,0.01394421,0.0003170815,0.00001757995,0.00002281311,0.0001564653,0.0001881047,0.00006675706,0.0004284344,0.9847783,0.00001508567],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001048504,0.0000484829,0.00004262201,0.00004258609,0.00001303049,0.000008945439,0.9983525,0.00004595787,0.001340923],"genre_scores_gemma":[0.0005238438,0.0001391544,0.0001705755,0.00003884269,0.00001097196,0.0001076161,0.9957766,0.00004369126,0.00318879],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1485808,"threshold_uncertainty_score":0.3126039,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01469376908055361,"score_gpt":0.1716747390728342,"score_spread":0.1569809699922806,"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."}}