{"id":"W7131293323","doi":"10.25549/wpacards-c8-160251","title":"WPA household census for 3274 ROSECRANS 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; Administration (probate law); American Community Survey; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006737698,0.001246669,0.001074184,0.003004943,0.0005768877,0.001897152,0.001329617,0.0005655119,0.078291],"category_scores_gemma":[0.004284085,0.0005837359,0.0005519224,0.008290602,0.0001834208,0.001212683,0.0009669067,0.001458831,0.09858255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001762973,"about_ca_system_score_gemma":0.003329875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1125003,"about_ca_topic_score_gemma":0.1260944,"domain_scores_codex":[0.9992188,0.0001005142,0.0001037233,0.000230186,0.000254364,0.00009236635],"domain_scores_gemma":[0.9976682,0.0002817227,0.0002336686,0.0002618452,0.001393617,0.0001608577],"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":[0.000006792993,0.0000051972,0.0006507922,0.00009020998,0.000006355317,0.000005702582,0.000008750445,0.00004192649,0.000006968597,0.0001837308,0.9976522,0.001341386],"study_design_scores_gemma":[0.00006555802,0.000006552117,0.01282903,0.0002875889,0.00001865492,0.00002773369,0.0001500625,0.0002162073,0.00006849897,0.0004656122,0.9858494,0.00001519359],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000114145,0.00004962393,0.00003880005,0.00005071636,0.00001437073,0.000007138153,0.9986126,0.00004526587,0.001067286],"genre_scores_gemma":[0.0004883043,0.0001188192,0.0001222778,0.00003696099,0.00001095532,0.00008087626,0.9967771,0.00003266503,0.002331982],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.921709,"threshold_uncertainty_score":0.2619095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01383036396163364,"score_gpt":0.1737114220711138,"score_spread":0.1598810581094801,"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."}}