{"id":"W7131307785","doi":"10.25549/wpacards-c8-135713","title":"WPA household census for 355 W 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":[],"consensus_categories":[],"category_scores_codex":[0.0006871422,0.001243915,0.001074662,0.002994766,0.0005803267,0.001996843,0.001378343,0.0005500967,0.07883046],"category_scores_gemma":[0.004387747,0.0005739114,0.0005550449,0.008159748,0.0001864976,0.001283831,0.0009736263,0.001503015,0.09496005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001799427,"about_ca_system_score_gemma":0.003358196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1153235,"about_ca_topic_score_gemma":0.1283756,"domain_scores_codex":[0.9992072,0.00009960673,0.0001041394,0.0002367579,0.0002594629,0.0000928667],"domain_scores_gemma":[0.9976478,0.0002841866,0.0002381689,0.0002572244,0.00140924,0.0001633229],"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":[0.000006472591,0.000004916393,0.000639208,0.00008889994,0.00000624593,0.000005769725,0.000008740745,0.00003807285,0.000006639583,0.0002000896,0.9976103,0.001384624],"study_design_scores_gemma":[0.00006127925,0.000006360149,0.01296331,0.0002985386,0.00001826933,0.00002900975,0.0001482317,0.0002112001,0.0000631451,0.0005031197,0.9856813,0.00001624053],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001067413,0.00005396898,0.0000435146,0.00005462505,0.00001607473,0.00000818236,0.9984522,0.00004727237,0.001217425],"genre_scores_gemma":[0.0005157415,0.0001387579,0.0001474066,0.00004426855,0.0000128983,0.00009152069,0.9964036,0.00003717327,0.002608672],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1153235,"threshold_uncertainty_score":0.2637141,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01386496721721402,"score_gpt":0.1734590301235356,"score_spread":0.1595940629063216,"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."}}