{"id":"W7131276997","doi":"10.25549/wpacards-c8-134734","title":"WPA household census for 6308 MAKEE 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; 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":[0.0006727986,0.001213519,0.001096068,0.003143016,0.0005727051,0.001937476,0.001386401,0.0005346444,0.08254069],"category_scores_gemma":[0.00429259,0.000634601,0.0005504104,0.009239518,0.0001850171,0.001287055,0.0009749185,0.001478237,0.09379922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001801962,"about_ca_system_score_gemma":0.003579466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1291889,"about_ca_topic_score_gemma":0.1357358,"domain_scores_codex":[0.999189,0.0001051987,0.0001108123,0.0002290431,0.0002661291,0.00009989009],"domain_scores_gemma":[0.9975166,0.000278754,0.0002395281,0.0002587338,0.00154668,0.0001596473],"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":[0.000007001956,0.000005313525,0.0006637357,0.0001062247,0.000007318607,0.000006261041,0.00001138326,0.00004373403,0.00000746484,0.0002311999,0.997435,0.001475395],"study_design_scores_gemma":[0.00006182855,0.000006549165,0.01451321,0.000287144,0.0000187947,0.00002760659,0.0001653178,0.0001888114,0.00006202739,0.0004704408,0.9841825,0.00001581429],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001139846,0.00005053176,0.00004197941,0.00004859694,0.00001496718,0.000008614581,0.9983979,0.00004597294,0.001277328],"genre_scores_gemma":[0.0005506685,0.0001435011,0.0001532033,0.00003875979,0.00001166843,0.0001067638,0.9960879,0.00003860014,0.002868968],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1291889,"threshold_uncertainty_score":0.2761261,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01494286110771808,"score_gpt":0.1748739847909314,"score_spread":0.1599311236832133,"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."}}