{"id":"W4231760037","doi":"10.21203/rs.2.23235/v1","title":"Applying an intersectionality lens to the Theoretical Domains Framework: a tool for thinking about how intersecting social identities and structures of power influence behaviour","year":2020,"lang":"en","type":"preprint","venue":"Research Square","topic":"Evaluation and Performance Assessment","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; University of Waterloo; University of British Columbia; Ottawa Hospital","funders":"Canadian Institutes of Health Research","keywords":"Intersectionality; Context (archaeology); Delphi method; Through-the-lens metering; Delphi; Voting; Identity (music); Computer science; Sociology; Lens (geology); Political science; Engineering; Artificial intelligence; Gender studies","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.120648,0.00248711,0.001834522,0.02127189,0.01128555,0.02059235,0.005215864,0.004287416,0.01301467],"category_scores_gemma":[0.0895564,0.0015423,0.003485458,0.01055484,0.03609388,0.02675766,0.02401812,0.008779719,0.001391276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02085519,"about_ca_system_score_gemma":0.0305837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008733611,"about_ca_topic_score_gemma":0.01028097,"domain_scores_codex":[0.89592,0.09002013,0.003452267,0.00304484,0.005416941,0.002145881],"domain_scores_gemma":[0.8595105,0.1178356,0.004452601,0.006196111,0.00905138,0.002953781],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00007871132,0.0001058176,0.002735264,0.001606796,0.00006767691,0.0005625323,0.3059361,0.001235569,0.001018609,0.6102054,0.006267573,0.0701799],"study_design_scores_gemma":[0.00007733962,0.0001273319,0.001739586,0.004422334,0.00008910798,0.0005376036,0.3217271,0.005858908,0.001551032,0.5330857,0.1306117,0.0001721749],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04588923,0.001815353,0.8278864,0.0280431,0.0006994099,0.004502215,0.0007013654,0.000545045,0.08991785],"genre_scores_gemma":[0.3182544,0.001507794,0.6627132,0.001957475,0.0001156777,0.009195233,0.0004940943,0.0002893982,0.005472733],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.120648,"threshold_uncertainty_score":0.6380551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2504975127103183,"score_gpt":0.5555617109953894,"score_spread":0.3050641982850711,"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."}}