{"id":"W2052471277","doi":"10.1176/appi.pn.2015.2b18","title":"Culture, Cuisine, History Mark Toronto’s Unique Neighborhoods","year":2015,"lang":"en","type":"article","venue":"Psychiatric News","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Downtown; Geography; Globe; City centre; Queen (butterfly); Media studies; Archaeology; Sociology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004188173,0.0001162721,0.0001659861,0.0001960277,0.0003998557,0.0001443991,0.0003762287,0.0001606447,0.002082387],"category_scores_gemma":[0.000126544,0.0001437547,0.0001151487,0.0002988042,0.0002598101,0.0004368606,0.00002309214,0.000152973,0.0004309055],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007643819,"about_ca_system_score_gemma":0.003283106,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8781269,"about_ca_topic_score_gemma":0.9703946,"domain_scores_codex":[0.9985817,0.000175193,0.0002135409,0.0002669892,0.000406692,0.0003558513],"domain_scores_gemma":[0.9988747,0.00001737729,0.0001101707,0.0002878471,0.000129181,0.0005806937],"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":[0.00001061165,0.00004329953,0.0009049128,0.000004994371,0.000007290275,0.000003894917,0.007954624,4.805657e-7,0.000001143094,0.06540015,0.9200998,0.005568822],"study_design_scores_gemma":[0.0002929452,0.00003710853,0.000561488,0.000002888711,0.00002352716,0.000001565616,0.002871531,0.000001713824,1.022365e-7,0.003098539,0.9929135,0.0001951091],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003658667,0.03634304,0.0001205721,0.001986923,0.006302926,0.0001908033,0.000007435385,0.0001380004,0.9545444],"genre_scores_gemma":[0.04310497,0.01067322,0.005449427,0.006117936,0.009696824,0.00007166603,0.00002556887,0.00009141284,0.924769],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.09226768,"threshold_uncertainty_score":0.9988298,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02374948867183029,"score_gpt":0.2633861351569208,"score_spread":0.2396366464850905,"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."}}