{"id":"W7131291875","doi":"10.25549/wpacards-c8-160536","title":"WPA household census for 3247 SAN MIGUEL ST, 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":[0.0005978451,0.001150343,0.0009463144,0.003169264,0.0005431856,0.001632785,0.001269242,0.0004974555,0.06445865],"category_scores_gemma":[0.003754543,0.0005185417,0.000510006,0.008628843,0.0001691889,0.001031792,0.0008476615,0.001289185,0.07965992],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00166375,"about_ca_system_score_gemma":0.003167004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1287356,"about_ca_topic_score_gemma":0.1515943,"domain_scores_codex":[0.9993094,0.00009224753,0.00009016271,0.0002014917,0.0002260027,0.00008070964],"domain_scores_gemma":[0.9980291,0.000230341,0.0002088899,0.0002174194,0.001181226,0.0001331159],"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":[0.00000761163,0.000005807851,0.0009275948,0.0000999531,0.000007898082,0.000007062558,0.00001181563,0.00005321522,0.000008709674,0.0002085412,0.9971234,0.001538352],"study_design_scores_gemma":[0.00006151722,0.00000686814,0.01695168,0.0002792099,0.00002079872,0.00003083155,0.0001786916,0.0002503027,0.00007411348,0.0004749851,0.9816551,0.0000158797],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001636834,0.0000544367,0.00004315337,0.00004846264,0.00001402074,0.000007178031,0.9985676,0.00004465887,0.001056718],"genre_scores_gemma":[0.0005915216,0.0001227649,0.0001255722,0.00003385367,0.00001075114,0.00008439655,0.9965934,0.00003036569,0.002407323],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1287356,"threshold_uncertainty_score":0.2559725,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01536246507012498,"score_gpt":0.1780921666050785,"score_spread":0.1627297015349536,"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."}}