{"id":"W7056039204","doi":"","title":"An Environmental Scan of Organizations Supporting Racialized Students in Canada","year":2022,"lang":"en","type":"report","venue":"MacSphere (McMaster University)","topic":"Thermal properties of materials","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economic Justice; Social justice; Environmental justice; Racism; Ethnic group; Race (biology); Racial bias","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":[0.0008328759,0.0002214327,0.0001740798,0.002464146,0.01099831,0.001763704,0.0009380499,0.0005887965,0.003898236],"category_scores_gemma":[0.001835921,0.0002839277,0.0001752553,0.003426589,0.001702376,0.0004624067,0.002232629,0.0007426841,0.0002429709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02363786,"about_ca_system_score_gemma":0.05589228,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9778912,"about_ca_topic_score_gemma":0.995271,"domain_scores_codex":[0.9980546,0.0001416279,0.00002940277,0.00007787457,0.0008969966,0.0007995786],"domain_scores_gemma":[0.996936,0.0001776081,0.0002793662,0.00006406374,0.002044659,0.0004982464],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000266385,0.0003750523,0.7129394,0.000727243,0.00005980629,0.002111075,0.101813,0.0006644498,0.006650105,0.006388376,0.04222014,0.1257849],"study_design_scores_gemma":[0.000005345961,0.00008353013,0.7341686,0.0001778407,0.0000201506,0.0001055858,0.1793272,0.0001809575,0.002147462,0.0002354482,0.08351079,0.00003710762],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9355752,0.001143995,0.0002167007,0.003005344,0.00003816956,0.0002142484,0.002204461,0.00004007586,0.0575618],"genre_scores_gemma":[0.9732329,0.002013616,0.0007269759,0.00124019,0.00001919765,0.00008864309,0.0009484027,0.00001990923,0.02171022],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02363786,"threshold_uncertainty_score":0.1715055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01334801686519588,"score_gpt":0.2243724505747422,"score_spread":0.2110244337095463,"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."}}