{"id":"W7131213240","doi":"10.25549/wpacards-c8-137642","title":"WPA household census for 1332 MYRTLE STREET, 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":[0.0006163462,0.001156954,0.001027799,0.003395683,0.0005793565,0.001859329,0.00135351,0.0004762795,0.08785768],"category_scores_gemma":[0.003938337,0.0005656133,0.0005390139,0.009252111,0.0001802965,0.001241904,0.0009674057,0.001385448,0.08912767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001850841,"about_ca_system_score_gemma":0.003582683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1453722,"about_ca_topic_score_gemma":0.1664404,"domain_scores_codex":[0.999225,0.00009827731,0.0001062428,0.0002046885,0.0002641671,0.0001015892],"domain_scores_gemma":[0.9978864,0.0002284981,0.0002302483,0.0002318894,0.001278308,0.0001445847],"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":[0.000007663306,0.000005817184,0.0007689775,0.0001270072,0.000006961959,0.000007299557,0.00001425434,0.00004422036,0.000007613428,0.00025702,0.9969947,0.001758469],"study_design_scores_gemma":[0.00005256672,0.00000658543,0.01607827,0.0003108305,0.00001675105,0.00002676542,0.000185366,0.0001822379,0.00005883069,0.0004222695,0.9826437,0.00001584438],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001550178,0.00006869058,0.00005059822,0.00004900016,0.00001615471,0.00001076744,0.9980088,0.00005435873,0.001586631],"genre_scores_gemma":[0.0006580688,0.000188626,0.0001608505,0.00003745337,0.0000133266,0.0001212464,0.9950128,0.00004468151,0.003762953],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1453722,"threshold_uncertainty_score":0.2939132,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01553773431096746,"score_gpt":0.1772112846046037,"score_spread":0.1616735502936363,"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."}}