{"id":"W7131263584","doi":"10.25549/wpacards-c8-135710","title":"WPA household census for 341 W ROSECRANS 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; 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":[0.0006507827,0.00130866,0.001111177,0.003237328,0.0006068366,0.002086594,0.001409785,0.0005607172,0.08257354],"category_scores_gemma":[0.004292094,0.0006067525,0.000572465,0.009090005,0.0001937472,0.001302711,0.0009817273,0.001551263,0.1036651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001896579,"about_ca_system_score_gemma":0.003528475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1205022,"about_ca_topic_score_gemma":0.1351981,"domain_scores_codex":[0.9991975,0.0000955764,0.0001042603,0.0002435216,0.0002643148,0.00009484674],"domain_scores_gemma":[0.9976379,0.0002814526,0.0002349732,0.0002555587,0.001425138,0.0001650658],"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":[0.00000595039,0.000005035468,0.0006264824,0.00008878887,0.00000610703,0.000005752243,0.000009048357,0.0000382936,0.000006868335,0.0001844764,0.997675,0.001348181],"study_design_scores_gemma":[0.0000569536,0.000005910577,0.0127036,0.0002911504,0.00001742804,0.00002676854,0.000150222,0.0002043596,0.00006404211,0.0004654837,0.9859978,0.0000162406],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000107196,0.00005234117,0.00004022567,0.00004887195,0.00001459315,0.000007452235,0.9984951,0.00005017579,0.001184133],"genre_scores_gemma":[0.000461769,0.0001286939,0.0001389702,0.00003660414,0.00001113036,0.00008303796,0.9966582,0.00003712306,0.002444401],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1205022,"threshold_uncertainty_score":0.276236,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01386696415377065,"score_gpt":0.1737516514238111,"score_spread":0.1598846872700405,"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."}}