{"id":"W4316814264","doi":"10.1097/pr9.0000000000001063","title":"Promoting inclusion, diversity, and equity in pain science","year":2023,"lang":"en","type":"editorial","venue":"PAIN Reports","topic":"Diversity and Career in Medicine","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; University of Toronto; University Health Network","funders":"","keywords":"Equity (law); Diversity (politics); Inclusion (mineral); Psychology; Political science; Sociology; Social psychology; Anthropology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts","open_science"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.1286451,0.0001625828,0.0003183245,0.0003259023,0.005765026,0.0001662202,0.0008483826,0.0004352149,0.00003191393],"category_scores_gemma":[0.08189744,0.0001709972,0.00004818119,0.001097775,0.001358722,0.0002453666,0.02044296,0.0005999409,0.000003438848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005990061,"about_ca_system_score_gemma":0.001327707,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01550758,"about_ca_topic_score_gemma":0.0062034,"domain_scores_codex":[0.9923,0.0008979144,0.0003564863,0.0007290758,0.005053893,0.0006626497],"domain_scores_gemma":[0.9961267,0.002560208,0.0003372181,0.0002848757,0.0004014139,0.0002896201],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000003457801,0.00002863358,0.02697533,0.0001464656,0.00000635868,0.001757921,0.07726941,4.828196e-7,0.000003970536,0.00003689017,0.8712983,0.02247282],"study_design_scores_gemma":[0.0001325324,0.00006575311,0.0009737416,0.0007038863,0.000028808,0.000001004563,0.01030319,0.00003817806,0.000001809066,0.00748462,0.9799556,0.0003108803],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.01244901,0.0002213623,0.00003076959,0.001217146,0.9753743,0.0004916537,0.000008604547,0.0002202206,0.009986866],"genre_scores_gemma":[0.3281791,0.0007696587,0.00008421513,0.0004552928,0.6668648,0.00001750542,0.00008309232,0.00003545952,0.003510936],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.3157301,"threshold_uncertainty_score":0.9955294,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03788023808402828,"score_gpt":0.3463705742986402,"score_spread":0.3084903362146119,"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."}}