{"id":"W7131312417","doi":"10.25549/wpacards-c8-161940","title":"WPA household census for 652 1/4 SOUTH FERRIS 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007084396,0.001341465,0.00111149,0.003353485,0.0005706566,0.001937889,0.001398184,0.0005464043,0.09312274],"category_scores_gemma":[0.004225448,0.0006395424,0.0006056495,0.009851828,0.0001848461,0.00125428,0.0009244503,0.001402488,0.1061435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001978163,"about_ca_system_score_gemma":0.003659495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1291473,"about_ca_topic_score_gemma":0.1319081,"domain_scores_codex":[0.9991535,0.0001024456,0.0001162581,0.0002331157,0.0002885851,0.0001061384],"domain_scores_gemma":[0.9977697,0.0002730232,0.0002328417,0.0002395993,0.001330498,0.0001542443],"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":[0.000006814945,0.00000539448,0.0006532462,0.0001176897,0.000006920951,0.00000598863,0.00001095624,0.00004414162,0.000008005499,0.0002026844,0.9973469,0.001591305],"study_design_scores_gemma":[0.00006363252,0.000007020332,0.01555146,0.0003436096,0.00002011327,0.00002650479,0.000166852,0.0001897533,0.00006846582,0.0004198926,0.9831269,0.00001576894],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001127034,0.00005203542,0.0000390008,0.0000417707,0.00001417833,0.000008708465,0.998372,0.00004554852,0.00131402],"genre_scores_gemma":[0.0005416213,0.0001489609,0.0001445712,0.00003703337,0.00001209095,0.0001082984,0.9958946,0.0000409034,0.00307199],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9068773,"threshold_uncertainty_score":0.3115266,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01623548322967695,"score_gpt":0.1756888941073314,"score_spread":0.1594534108776545,"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."}}