{"id":"W6964477885","doi":"10.25549/wpacards-m68410","title":"WPA household census for 1704 S GAFFEY STREET, Los Angeles County","year":2012,"lang":"en","type":"dataset","venue":"University of Southern California Digital Library","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Census; Population; Quarter (Canadian coin); Work (physics); Statistical analysis","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":[0.0004999576,0.001530179,0.001387987,0.005092212,0.0006413757,0.001583781,0.001622415,0.0007794694,0.06534099],"category_scores_gemma":[0.003827782,0.0009254859,0.0006935089,0.01395656,0.0001970982,0.001169874,0.000965784,0.001293521,0.06237762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001955902,"about_ca_system_score_gemma":0.004514751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.26599,"about_ca_topic_score_gemma":0.2953935,"domain_scores_codex":[0.9993801,0.00005560658,0.00009065227,0.0001830207,0.0001785772,0.0001120124],"domain_scores_gemma":[0.9979149,0.000249266,0.0003008815,0.0002305313,0.001085943,0.0002185178],"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":[0.00002439102,0.00001596729,0.002287284,0.0001790031,0.00001842021,0.00001269016,0.00002604915,0.0001997769,0.00001973116,0.0001704929,0.9947262,0.00231998],"study_design_scores_gemma":[0.0002158131,0.00001781496,0.07835144,0.0004027523,0.00005510152,0.00005678685,0.0003403358,0.0007540846,0.0002357263,0.0006236798,0.9188998,0.0000466498],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002258574,0.00002512556,0.000032049,0.00001982766,0.000007582541,0.000008473081,0.9989336,0.00005786932,0.0006895866],"genre_scores_gemma":[0.0008813146,0.0000918279,0.0001398183,0.00002377669,0.000007954439,0.0001250994,0.9959427,0.00003419362,0.002753368],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.26599,"threshold_uncertainty_score":0.5288836,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01619760050471159,"score_gpt":0.1730192783329209,"score_spread":0.1568216778282093,"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."}}