{"id":"W7131289447","doi":"10.25549/wpacards-ouc11572298","title":"WPA household census for 6601 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":[0.0006650121,0.001199378,0.001039618,0.003040284,0.0005667922,0.001863221,0.001340067,0.0005066908,0.07342312],"category_scores_gemma":[0.004159326,0.0005750511,0.0005359164,0.00851851,0.0001829501,0.00122096,0.0009212259,0.001430537,0.08602447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001780488,"about_ca_system_score_gemma":0.003464958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1287295,"about_ca_topic_score_gemma":0.1439948,"domain_scores_codex":[0.9992341,0.0001002529,0.0001014613,0.0002257885,0.0002486947,0.00008967759],"domain_scores_gemma":[0.9976214,0.0002733992,0.0002380281,0.0002531861,0.001455688,0.00015844],"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":[0.000007195868,0.000005493024,0.0007970153,0.00009893975,0.000007117516,0.000006349738,0.00001066275,0.00004591474,0.000007177383,0.000214201,0.9972509,0.001549008],"study_design_scores_gemma":[0.00006842917,0.000006979656,0.01599098,0.0003044401,0.00002005497,0.00002963078,0.0001700154,0.0002277705,0.00006735634,0.0004959537,0.9826018,0.00001671974],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001268615,0.00005145544,0.00004333465,0.00004914053,0.00001426233,0.000007970018,0.9985282,0.00004588708,0.001132776],"genre_scores_gemma":[0.0005597393,0.0001350597,0.0001430063,0.00003696223,0.00001122417,0.00009418737,0.9964389,0.00003456343,0.002546383],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1287295,"threshold_uncertainty_score":0.2559605,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01565862601356734,"score_gpt":0.1753788804724921,"score_spread":0.1597202544589247,"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."}}