{"id":"W7131246364","doi":"10.25549/wpacards-c8-139109","title":"WPA household census for 1406 GRIFFITH 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":[0.0006851821,0.001242497,0.00111882,0.003419316,0.0006005003,0.001947213,0.001464284,0.0005004372,0.08917891],"category_scores_gemma":[0.004498707,0.0006236723,0.0005974968,0.00914529,0.000196023,0.001373945,0.001053004,0.001534406,0.1000514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002026509,"about_ca_system_score_gemma":0.003980128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1496445,"about_ca_topic_score_gemma":0.1556207,"domain_scores_codex":[0.9991044,0.0001136929,0.0001227423,0.0002486397,0.000299263,0.0001110702],"domain_scores_gemma":[0.9974992,0.0002544853,0.0002451472,0.0002583809,0.001592009,0.0001508195],"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":[0.000006504645,0.000005181294,0.0006422389,0.000117052,0.000006652202,0.000006079422,0.00001304977,0.00003786558,0.000006690885,0.0002605693,0.997244,0.001654114],"study_design_scores_gemma":[0.00004920801,0.000006166798,0.01351818,0.0003017068,0.0000164638,0.00002636456,0.0001709908,0.0001656034,0.00005392596,0.0004273853,0.9852483,0.00001572597],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001336906,0.00007483599,0.0000565593,0.00005560156,0.00001819061,0.00001241221,0.9976674,0.00006113344,0.001920168],"genre_scores_gemma":[0.0006468638,0.0002107871,0.00019172,0.00004503977,0.00001492649,0.00013916,0.9945452,0.00004985353,0.004156423],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1496445,"threshold_uncertainty_score":0.2983332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01439624801682307,"score_gpt":0.1729659652887525,"score_spread":0.1585697172719294,"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."}}