{"id":"W7131311195","doi":"10.25549/wpacards-ouc11580329","title":"WPA household census for 128 SOUTH DICKERSON 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; Administration (probate law); Value (mathematics); American Community Survey","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000113118,0.0008905318,0.001110336,0.0004896922,0.000307652,0.0003242039,0.001435986,0.0007769001,0.0002549802],"category_scores_gemma":[0.00009031248,0.0009983684,0.0008673969,0.0005480895,0.0007059092,0.0006732355,0.0009391871,0.0006140032,0.000953821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000174746,"about_ca_system_score_gemma":0.0005919941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001319034,"about_ca_topic_score_gemma":0.00005603866,"domain_scores_codex":[0.9966277,0.0001000357,0.0005113315,0.00109855,0.0008478466,0.000814472],"domain_scores_gemma":[0.9970633,0.00024383,0.0009072086,0.001156234,0.0001391828,0.0004901923],"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":[0.0007151281,0.0003997733,0.002252136,0.0007272123,0.0003490851,0.000342335,0.00001727607,0.00001480182,0.000005196882,0.000002827131,0.9950486,0.0001255841],"study_design_scores_gemma":[0.001431704,0.00005706189,0.00001403467,0.0004842959,0.0004808746,0.000009183528,0.00547526,0.00002106621,0.00003314297,0.00007842497,0.9909317,0.0009832847],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002842608,0.0003366403,0.00002810043,0.00003483526,0.00009214059,0.0006377904,0.9951869,0.0004326408,0.0004084028],"genre_scores_gemma":[0.0002768557,0.00003314433,0.0002917969,0.0000868852,0.000290931,0.000001268076,0.9983615,0.0002935375,0.0003640812],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.005457984,"threshold_uncertainty_score":0.999824,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0150358929714799,"score_gpt":0.1747128494378458,"score_spread":0.1596769564663659,"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."}}