{"id":"W7131252087","doi":"10.25549/wpacards-ouc11572676","title":"WPA household census for 6807 CHANSLOR 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":[0.0006646417,0.001208287,0.001036556,0.003061111,0.0005658288,0.001857288,0.001360946,0.0005201795,0.0726053],"category_scores_gemma":[0.004130883,0.000575971,0.0005313227,0.008434593,0.0001853208,0.001219612,0.0009192698,0.001415601,0.08566809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001785129,"about_ca_system_score_gemma":0.00339419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.129993,"about_ca_topic_score_gemma":0.1460496,"domain_scores_codex":[0.9992334,0.0001003154,0.0001002068,0.000226669,0.0002483097,0.00009116709],"domain_scores_gemma":[0.9976816,0.000271709,0.0002314652,0.0002458134,0.001414725,0.0001547212],"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":[0.000007158385,0.000005464864,0.0007735972,0.00009640872,0.000007107835,0.000006279065,0.00001047817,0.00004588548,0.000007178881,0.0002084745,0.99734,0.001491954],"study_design_scores_gemma":[0.00006957741,0.000006957963,0.01546218,0.0002975545,0.00001974765,0.00002938404,0.0001665158,0.0002306978,0.00006765518,0.0004858646,0.9831472,0.00001670163],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001256983,0.00005028599,0.00004250961,0.00004782749,0.00001378818,0.000007696935,0.9985585,0.00004636965,0.001107422],"genre_scores_gemma":[0.0005440334,0.0001268687,0.0001422852,0.00003595456,0.00001075183,0.00009262464,0.9965828,0.00003393063,0.002430764],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.129993,"threshold_uncertainty_score":0.2584727,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01567595326489734,"score_gpt":0.1756629195193647,"score_spread":0.1599869662544674,"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."}}