{"id":"W7095698427","doi":"","title":"THE ROLE OF TORONTO'S SETEEMENT HOUSES IN","year":2015,"lang":"en","type":"article","venue":"","topic":"Cultural Heritage Materials Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Microform; Quality (philosophy); Event (particle physics); White (mutation); Photography","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":[0.000159284,0.00005598486,0.0001025941,0.000006180082,0.00005531979,0.00009736851,0.0001010111,0.000010571,0.003784181],"category_scores_gemma":[0.00001463962,0.00002885182,0.00003510664,0.000007532798,0.00005882544,0.0001099582,0.00003923669,0.00001439643,0.00005433436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004356343,"about_ca_system_score_gemma":0.000009250763,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.05558125,"about_ca_topic_score_gemma":0.5886922,"domain_scores_codex":[0.9995134,0.00002900682,0.0001753661,0.00006385603,0.0001196792,0.00009871087],"domain_scores_gemma":[0.9997163,0.00001877497,0.00004094643,0.0001304793,0.0000687899,0.00002469658],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001079665,0.0002173642,0.001924122,0.00002407283,0.0001603603,0.000001753913,0.2083287,0.00002590778,0.008696558,0.7336021,0.02809702,0.01881408],"study_design_scores_gemma":[0.0001155519,0.00002867905,0.000109811,0.000004831258,0.00001098513,1.629232e-7,0.03958537,0.00001816003,0.001325284,0.001887306,0.9568514,0.00006246175],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7208127,0.001531345,3.990836e-7,0.0001713427,0.0001502817,0.00007483696,0.000008441752,0.00002490964,0.2772257],"genre_scores_gemma":[0.9845236,0.00005123569,0.00003580172,0.00003680148,0.0001133541,0.000008130966,0.000003789497,0.000004848607,0.01522243],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9287544,"threshold_uncertainty_score":0.9971265,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1724034600470168,"score_gpt":0.300604336282132,"score_spread":0.1282008762351152,"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."}}