{"id":"W7131212063","doi":"10.25549/wpacards-c8-151608","title":"WPA household census for 6526 CHANSLOR 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":[0.0006592605,0.001224801,0.001044743,0.003023522,0.0005559442,0.001833905,0.00130377,0.0005135816,0.07640524],"category_scores_gemma":[0.004034777,0.0005586125,0.0005371558,0.008443782,0.000179284,0.001193242,0.0009069887,0.001387923,0.08940862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001763863,"about_ca_system_score_gemma":0.003482815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.126048,"about_ca_topic_score_gemma":0.1407036,"domain_scores_codex":[0.9992325,0.0001011063,0.0001026527,0.0002255347,0.0002483563,0.00008979794],"domain_scores_gemma":[0.9977809,0.0002575332,0.0002291238,0.0002366144,0.001345481,0.0001504592],"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":[0.000007075765,0.000005629189,0.0007923079,0.0001028101,0.00000735303,0.000006493601,0.00001085625,0.00004739694,0.000007258298,0.0002079349,0.9972214,0.00158367],"study_design_scores_gemma":[0.00006569438,0.00000690884,0.01518398,0.0003088184,0.00002009463,0.00002867119,0.0001663271,0.0002240439,0.00006463204,0.0004767423,0.9834378,0.00001624204],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001309244,0.00005503019,0.00004378052,0.00004971194,0.00001447674,0.000008194248,0.998464,0.0000466647,0.001187275],"genre_scores_gemma":[0.0005705051,0.0001394866,0.0001374494,0.00003797094,0.00001123478,0.0000946625,0.9962871,0.00003468564,0.002686934],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.126048,"threshold_uncertainty_score":0.255601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01555747567117269,"score_gpt":0.1752978426768223,"score_spread":0.1597403670056496,"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."}}