{"id":"W7131255426","doi":"10.25549/wpacards-c8-153445","title":"WPA household census for 6523 ADAMSON 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":[0.0006749781,0.001204703,0.001084857,0.003152074,0.0005574469,0.001858299,0.001341906,0.0005123597,0.09105942],"category_scores_gemma":[0.004254577,0.0005852902,0.0005306306,0.009207669,0.0001780158,0.001283527,0.0009365014,0.001442821,0.0982003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001819761,"about_ca_system_score_gemma":0.003640235,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1201217,"about_ca_topic_score_gemma":0.1239385,"domain_scores_codex":[0.999171,0.0001087458,0.0001166146,0.0002312007,0.0002725529,0.00009987078],"domain_scores_gemma":[0.9975839,0.0002808124,0.0002417135,0.0002408811,0.00149676,0.0001559044],"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":[0.000006642224,0.00000506434,0.0006599282,0.0001117834,0.000006964092,0.000006368166,0.00001122016,0.00004214136,0.000007250693,0.0002439051,0.9972498,0.001649095],"study_design_scores_gemma":[0.00005593836,0.000006345194,0.01323196,0.0003059756,0.00001817559,0.0000267941,0.0001628638,0.0001752976,0.00005468733,0.0004768147,0.9854703,0.00001491898],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001136452,0.0000604628,0.00004598149,0.00005331439,0.00001677748,0.000009856943,0.9981742,0.00004650913,0.001479323],"genre_scores_gemma":[0.0006118807,0.0001782049,0.0001644742,0.00004699721,0.00001382806,0.0001193933,0.9955044,0.00004136915,0.00331943],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1201217,"threshold_uncertainty_score":0.3046241,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01468495952739902,"score_gpt":0.1749474264798062,"score_spread":0.1602624669524071,"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."}}