{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009532297,0.001682711,0.001214589,0.003343805,0.001778805,0.004307111,0.002047557,0.001543303,0.1211889],"category_scores_gemma":[0.007613478,0.0008516659,0.001009677,0.009270811,0.0007767795,0.002386787,0.002710047,0.002034295,0.1693569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00448519,"about_ca_system_score_gemma":0.007884021,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3042882,"about_ca_topic_score_gemma":0.6036109,"domain_scores_codex":[0.9990919,0.0001008036,0.00006780556,0.0002804072,0.0002616167,0.0001974451],"domain_scores_gemma":[0.996126,0.0004759782,0.0002113651,0.00128414,0.001265431,0.0006371464],"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":[0.00001911464,0.000003464885,0.0003810227,0.00009823909,0.000006661617,0.0000062239,0.00002959758,0.00003327047,0.00002524334,0.0002815737,0.997991,0.001124511],"study_design_scores_gemma":[0.00005790371,0.000005436876,0.003848329,0.0001652107,0.00001388434,0.00001923407,0.000163069,0.0001635041,0.0001753114,0.0008200237,0.9945457,0.00002253415],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002274389,0.0001279725,0.0001184976,0.0002849096,0.00007587883,0.00001494612,0.9942319,0.001196423,0.003722084],"genre_scores_gemma":[0.0007535052,0.0001113758,0.0004210802,0.00007638062,0.00001638828,0.00005344604,0.9944003,0.000393735,0.00377379],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6957118,"threshold_uncertainty_score":0.6050341,"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."}}