{"id":"W6988053126","doi":"","title":"Work, Inclusion and 2SLGBTQ+ People in Sudbury and Windsor","year":2020,"lang":"en","type":"article","venue":"MacSphere (McMaster University)","topic":"Healthcare innovation and challenges","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Windsor; Inclusion (mineral); General partnership","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":[0.003285693,0.0002947952,0.0004575102,0.001057235,0.02253329,0.004880077,0.001297267,0.001266611,0.02310479],"category_scores_gemma":[0.002955159,0.0005185851,0.0003870776,0.002494521,0.003793697,0.002020573,0.009631482,0.002582128,0.001391746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01846064,"about_ca_system_score_gemma":0.05053056,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.9377654,"about_ca_topic_score_gemma":0.9816808,"domain_scores_codex":[0.99532,0.0009212515,0.000148705,0.0001613608,0.000773244,0.002675475],"domain_scores_gemma":[0.9934949,0.000433075,0.0002989627,0.0001274495,0.001022457,0.004623159],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0004666484,0.0005676979,0.1285146,0.000443313,0.00003564289,0.001988637,0.5818152,0.0001898279,0.001316388,0.006815072,0.1871011,0.09074579],"study_design_scores_gemma":[0.00004827355,0.0001596537,0.2679425,0.000365605,0.00001200494,0.0001274178,0.5720099,0.00002505696,0.0001668793,0.0002213889,0.1588702,0.00005110971],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8762512,0.002414885,0.0001451411,0.04165423,0.0004914585,0.0003950682,0.00347409,0.00003832305,0.07513575],"genre_scores_gemma":[0.8362288,0.003543185,0.0005295976,0.007141376,0.0001422077,0.0007807807,0.002135854,0.00007861457,0.1494195],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9377654,"threshold_uncertainty_score":0.1339419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03564266571140035,"score_gpt":0.2580649236501975,"score_spread":0.2224222579387971,"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."}}