{"id":"W7131224840","doi":"10.25549/wpacards-ouc11582437","title":"WPA household census for 5545 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); 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":[0.0006826385,0.001234498,0.001084472,0.002976016,0.0005718457,0.001922139,0.001334256,0.0005482697,0.08328852],"category_scores_gemma":[0.00430152,0.000580809,0.0005626359,0.008138542,0.0001802907,0.001245019,0.0009621556,0.001450738,0.09847796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001778695,"about_ca_system_score_gemma":0.003301523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1156154,"about_ca_topic_score_gemma":0.1283328,"domain_scores_codex":[0.9991857,0.0001055669,0.0001090917,0.0002442272,0.0002609726,0.00009432639],"domain_scores_gemma":[0.9976599,0.0002841401,0.0002329604,0.0002575892,0.001407187,0.0001581469],"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":[0.000006437598,0.000005024007,0.0006666371,0.00009215846,0.000006523067,0.000005670421,0.000008991108,0.00004058371,0.000006935801,0.0001927717,0.9975166,0.001451628],"study_design_scores_gemma":[0.00006130661,0.000006277904,0.01315184,0.0002952958,0.00001882029,0.00002776399,0.0001487212,0.0002118,0.0000643267,0.0004725732,0.9855253,0.00001586329],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000114528,0.00005421333,0.00004276277,0.00005258276,0.00001564143,0.000007818995,0.998472,0.00004789035,0.001192563],"genre_scores_gemma":[0.0005158126,0.0001341618,0.0001365412,0.00004040233,0.0000118546,0.00008971604,0.9964473,0.00003537787,0.002588915],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9167114,"threshold_uncertainty_score":0.2786279,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01381485433349586,"score_gpt":0.1735910770620089,"score_spread":0.159776222728513,"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."}}