{"id":"W7002478014","doi":"","title":"Not Back To Normal: Social Assistance in Post-Pandemic Ontario","year":2023,"lang":"en","type":"report","venue":"MacSphere (McMaster University)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nucleofection; Gestational period; TSG101; Liquation; Diafiltration; Dysgeusia; Emperipolesis; Triacetin; Fusible alloy","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":[0.000842489,0.0002378404,0.0001964387,0.000650708,0.01608413,0.002634951,0.0009356657,0.001128065,0.006775512],"category_scores_gemma":[0.003155563,0.0002333104,0.0002036152,0.002216151,0.002370338,0.001027228,0.003485511,0.001238446,0.0004229284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0513655,"about_ca_system_score_gemma":0.1525165,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.987969,"about_ca_topic_score_gemma":0.9973367,"domain_scores_codex":[0.9978968,0.0002879043,0.00005630786,0.00005769162,0.0004301769,0.001271177],"domain_scores_gemma":[0.9956971,0.0003288106,0.0004747813,0.00008560113,0.001227199,0.002186474],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003604807,0.0002638732,0.2741505,0.0006416245,0.00004787936,0.004728655,0.4315763,0.0002618859,0.001326506,0.006377134,0.1854962,0.09476899],"study_design_scores_gemma":[0.00002129889,0.0000844493,0.4136429,0.0001994735,0.00001616509,0.0002241745,0.3503069,0.0000872614,0.0001614408,0.0002522201,0.2349619,0.00004186473],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8042076,0.002958926,0.000118603,0.05710105,0.0003090487,0.000350704,0.00259165,0.00004419837,0.1323182],"genre_scores_gemma":[0.8962312,0.004616058,0.0003102869,0.006669099,0.00011397,0.0002695719,0.0008574652,0.00004600691,0.09088643],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0513655,"threshold_uncertainty_score":0.3726845,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0654762998085935,"score_gpt":0.26463786947296,"score_spread":0.1991615696643665,"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."}}