{"id":"W7131232588","doi":"10.25549/wpacards-c8-134365","title":"WPA household census for 385 EAST 116TH PLACE, 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":[0.0006289899,0.00123222,0.001022016,0.003296363,0.0006023748,0.001851168,0.00138191,0.0004974458,0.07378098],"category_scores_gemma":[0.004066839,0.00056747,0.0005328742,0.009709494,0.0001926135,0.001164673,0.000918041,0.001416007,0.08834931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001752475,"about_ca_system_score_gemma":0.00350671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1357439,"about_ca_topic_score_gemma":0.1620872,"domain_scores_codex":[0.9992653,0.00009549159,0.0001052523,0.0002149395,0.0002334281,0.00008555567],"domain_scores_gemma":[0.9978507,0.0002565605,0.0002280563,0.0002390673,0.001274245,0.0001514458],"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":[0.000007652267,0.00000601974,0.0008837154,0.0001165296,0.000007506091,0.000007128522,0.00001240336,0.00005191739,0.000008279211,0.0001962727,0.9972681,0.001434583],"study_design_scores_gemma":[0.00006935552,0.000007277423,0.01755041,0.0003136944,0.00002068107,0.00003123187,0.0002014268,0.0002135649,0.000069338,0.0004827712,0.9810228,0.00001758799],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000127168,0.00004673517,0.00003536238,0.00003580725,0.00001251152,0.000006884254,0.9987407,0.00004015315,0.0009547652],"genre_scores_gemma":[0.0004954467,0.0001193397,0.0001172868,0.00002920618,0.000009484101,0.00008210306,0.9970399,0.00002984534,0.002077359],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1357439,"threshold_uncertainty_score":0.2699076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01404810183299667,"score_gpt":0.1705232256517857,"score_spread":0.156475123818789,"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."}}