{"id":"W6889449205","doi":"10.25549/wpacards-c8-144182","title":"WPA household census for 2237 AVON STREET, Los Angeles","year":2014,"lang":"en","type":"dataset","venue":"University of Southern California Digital Library","topic":"Hand Gesture Recognition Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Census; Population; Context (archaeology); Work (physics); Quarter (Canadian coin)","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":[0.0005266317,0.001969917,0.001624916,0.005380167,0.0007532467,0.001693827,0.002183404,0.0008152482,0.04687655],"category_scores_gemma":[0.003286546,0.000832426,0.0008301174,0.008601414,0.0003051429,0.001142794,0.001180869,0.001462152,0.06102869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001912436,"about_ca_system_score_gemma":0.004531089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1585182,"about_ca_topic_score_gemma":0.220374,"domain_scores_codex":[0.9993356,0.00005484603,0.0000899013,0.0001984728,0.0002045355,0.0001165416],"domain_scores_gemma":[0.9980758,0.0001645451,0.0002368806,0.0002942406,0.001025352,0.0002031361],"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":[0.00002407631,0.00001653148,0.001800214,0.0001110297,0.0000143275,0.00001181156,0.00001187821,0.0001364366,0.00001973806,0.000127972,0.9955887,0.002137316],"study_design_scores_gemma":[0.0002031247,0.0000208192,0.04729094,0.0003188827,0.00004273392,0.00007771429,0.0002578702,0.000965321,0.0003007993,0.0005890426,0.9498873,0.00004534224],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000306957,0.00003476323,0.00004615163,0.0000294303,0.00001771733,0.00001171478,0.9987614,0.0000984124,0.0006934287],"genre_scores_gemma":[0.0005878603,0.00006937439,0.0001011286,0.0000143274,0.000008966406,0.00007594209,0.9972676,0.00002374254,0.001850973],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1585182,"threshold_uncertainty_score":0.315191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01440753126586765,"score_gpt":0.1741065060611475,"score_spread":0.1596989747952799,"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."}}