{"id":"W4241493660","doi":"10.1037/e504282013-001","title":"At Home/Chez Soi Project: Toronto At A Glance","year":2012,"lang":"en","type":"dataset","venue":"PsycEXTRA Dataset","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Silicon on insulator; Engineering; Telecommunications; Computer science; Physics; Optoelectronics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.001563712,0.002101348,0.001797549,0.0003348274,0.0006153989,0.0002624567,0.004110404,0.001329262,0.03838902],"category_scores_gemma":[0.0002041213,0.00203352,0.0003712188,0.0005686214,0.000524629,0.001350765,0.003387113,0.00114431,0.2291837],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004284861,"about_ca_system_score_gemma":0.0003706261,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01562507,"about_ca_topic_score_gemma":0.1352889,"domain_scores_codex":[0.9902781,0.0005918946,0.001420617,0.002709953,0.002106976,0.002892524],"domain_scores_gemma":[0.988668,0.0002529784,0.001354548,0.008669362,0.0001164172,0.000938746],"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":[0.0008896714,0.0008347062,0.000157634,0.000790025,0.0003962219,0.0002013739,0.00006542446,3.747004e-7,0.0003093414,0.000006113084,0.9961878,0.0001613069],"study_design_scores_gemma":[0.001804239,0.0001377429,0.0002278333,0.0002022989,0.0008148192,0.0006387076,0.00002659847,0.000003591436,0.00006964446,0.000007662802,0.9935576,0.002509285],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007459085,0.009058411,0.000001129491,0.000046442,0.002098228,0.002172205,0.985845,0.0003661179,0.0003379211],"genre_scores_gemma":[0.000008144078,0.00149198,0.0002889032,0.0006566424,0.002467162,0.000811375,0.9929611,0.0004534189,0.0008612626],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1907947,"threshold_uncertainty_score":0.9999672,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03887101843574203,"score_gpt":0.3320370765046748,"score_spread":0.2931660580689328,"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."}}