{"id":"W7134220316","doi":"","title":"Filling the Gaps: An Analysis of Eviction Filings in the Greater Toronto Area from 2010-2021","year":2025,"lang":"en","type":"other","venue":"TSpace","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Eviction; General partnership; Government (linguistics)","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":[0.001627224,0.0002403404,0.000279319,0.003570514,0.002063613,0.001868331,0.001344793,0.0005209332,0.003954462],"category_scores_gemma":[0.01453898,0.0002471532,0.0002979729,0.007626662,0.0005632049,0.0009020705,0.002060706,0.0009779605,0.0005975813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01798616,"about_ca_system_score_gemma":0.02412988,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9422362,"about_ca_topic_score_gemma":0.977158,"domain_scores_codex":[0.9971807,0.000294104,0.0002890577,0.0002160879,0.001086758,0.0009332579],"domain_scores_gemma":[0.9824452,0.001849791,0.006675515,0.0005381638,0.006446572,0.002044745],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001207276,0.00003993605,0.9369973,0.0002673034,0.00009327781,0.0003831158,0.01395568,0.000625262,0.000104144,0.0007785367,0.02799905,0.01863564],"study_design_scores_gemma":[0.000001868429,0.00001990912,0.9817398,0.0001018597,0.00001789702,0.00004254041,0.01238654,0.000253588,0.00004328629,0.00003609693,0.005346998,0.000009708216],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9535701,0.00139147,0.000189439,0.002535355,0.00006347549,0.0001035238,0.03345867,0.00003560445,0.008652419],"genre_scores_gemma":[0.9795173,0.0008548916,0.0002019245,0.0002007647,0.00002893104,0.00006152233,0.01284638,0.00001884587,0.006269418],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05776376,"threshold_uncertainty_score":0.1304994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02574091246573516,"score_gpt":0.3172039288414302,"score_spread":0.291463016375695,"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."}}