{"id":"W7131261496","doi":"10.25549/wpacards-ouc11579106","title":"WPA household census for 130 SOUTH HICKS STREET, 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":[0.0006592507,0.001151301,0.001031603,0.003137934,0.0005583945,0.001821437,0.001371504,0.0004901336,0.07561222],"category_scores_gemma":[0.003933436,0.0005756812,0.0005009961,0.009025435,0.0001807635,0.001194183,0.0009247552,0.001414169,0.08094021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001800211,"about_ca_system_score_gemma":0.003553169,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1323171,"about_ca_topic_score_gemma":0.1460423,"domain_scores_codex":[0.999252,0.00009805051,0.0001046077,0.0002088391,0.0002430252,0.0000934546],"domain_scores_gemma":[0.9978448,0.0002516066,0.0002166685,0.0002243977,0.001310935,0.0001515472],"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":[0.000007468602,0.000005782571,0.0007414772,0.0001163307,0.000007301153,0.00000683361,0.00001264769,0.00004976075,0.000008051783,0.0002527023,0.9972127,0.001578998],"study_design_scores_gemma":[0.00006340736,0.000007211276,0.01728091,0.0003238177,0.00001989133,0.00003010952,0.0001905579,0.000215155,0.00006749214,0.0005281573,0.9812562,0.00001714792],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001284953,0.00005241628,0.00004191683,0.00004268742,0.00001389118,0.000009325086,0.9984233,0.00004240078,0.001245574],"genre_scores_gemma":[0.0005580872,0.0001413169,0.0001528972,0.0000373099,0.00001090133,0.0001057994,0.9964474,0.00003625509,0.002509893],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1323171,"threshold_uncertainty_score":0.2630939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01498816573930173,"score_gpt":0.1745795115342076,"score_spread":0.1595913457949059,"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."}}