{"id":"W7131219298","doi":"10.25549/wpacards-c8-117694","title":"WPA household census for 6316 WILCOX 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":[0.00069102,0.001219027,0.001096999,0.003154501,0.0005781217,0.001911964,0.00136842,0.0005384358,0.08794147],"category_scores_gemma":[0.004312494,0.0006179529,0.0005447694,0.009244121,0.0001868645,0.00133111,0.0009686231,0.001472996,0.1019076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001850126,"about_ca_system_score_gemma":0.003665183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1231078,"about_ca_topic_score_gemma":0.1253606,"domain_scores_codex":[0.9991639,0.0001076682,0.0001156691,0.0002347203,0.0002740865,0.000104054],"domain_scores_gemma":[0.997542,0.0002762301,0.0002422103,0.0002519148,0.001526028,0.0001615547],"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":[0.000007007946,0.000005188045,0.0006499322,0.0001042266,0.000006608801,0.000006114725,0.00001097053,0.0000430167,0.000007219219,0.000242573,0.9973367,0.001580441],"study_design_scores_gemma":[0.00006038985,0.000006568583,0.01342337,0.0002970246,0.00001747659,0.00002661433,0.0001657567,0.0001887816,0.00006041128,0.0004916794,0.9852468,0.0000151378],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001157599,0.00005561727,0.00004520423,0.00005157997,0.00001604869,0.000009574167,0.9981843,0.0000485151,0.001473457],"genre_scores_gemma":[0.0005878541,0.0001602348,0.000161071,0.00004329702,0.00001314993,0.0001132908,0.9955453,0.00004243007,0.003333409],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1231078,"threshold_uncertainty_score":0.2941935,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01391124195810603,"score_gpt":0.1735346215704366,"score_spread":0.1596233796123306,"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."}}