{"id":"W7131248794","doi":"10.25549/wpacards-c8-121496","title":"WPA household census for 3321 3/4 BERKELEY AVE, Los Angeles","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":[0.0007250976,0.001349544,0.001202632,0.003227949,0.000569581,0.002099212,0.001576542,0.000566174,0.09278912],"category_scores_gemma":[0.004521106,0.0006462054,0.0006249552,0.008681569,0.0001972536,0.001357631,0.00100656,0.001546177,0.1073789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002045282,"about_ca_system_score_gemma":0.003578459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1239983,"about_ca_topic_score_gemma":0.1415928,"domain_scores_codex":[0.9991449,0.0001152132,0.0001140633,0.000241506,0.0002831089,0.0001011224],"domain_scores_gemma":[0.9975846,0.0002949277,0.0002369879,0.0002954759,0.001431566,0.0001563666],"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":[0.000006506339,0.000004866187,0.0005228664,0.0001067982,0.000006170103,0.000005456049,0.00000843662,0.00004288246,0.000006315934,0.0002315259,0.9976494,0.001408813],"study_design_scores_gemma":[0.00005947326,0.000005856967,0.01039699,0.0003011595,0.0000160797,0.00002520467,0.000127525,0.0002189564,0.00006391505,0.0004959968,0.988272,0.00001694504],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009226277,0.00004965672,0.00005146051,0.00004734822,0.00001484106,0.000008374915,0.9983857,0.00006032717,0.001290181],"genre_scores_gemma":[0.0004300361,0.0001317676,0.0001637303,0.00003529793,0.00001035912,0.00009712734,0.9964349,0.00004405741,0.002652741],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1239983,"threshold_uncertainty_score":0.3104105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01457766957587601,"score_gpt":0.1755871742853539,"score_spread":0.1610095047094779,"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."}}