{"id":"W4408263308","doi":"10.29173/pathfinder116","title":"Let's Talk About Race in Storytimes","year":2025,"lang":"en","type":"article","venue":"Pathfinder A Canadian Journal for Information Science Students and Early Career Professionals","topic":"Digital Storytelling and Education","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Race (biology); Political science; Sociology; Gender studies","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.003491285,0.0001343075,0.0001949986,0.001182313,0.003037659,0.0004261234,0.0004738028,0.0001220282,0.00006939858],"category_scores_gemma":[0.0006661455,0.0001113679,0.00004528878,0.0006980126,0.0001873658,0.002973171,0.00006459435,0.0005003798,0.00003640031],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005773735,"about_ca_system_score_gemma":0.006381361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004242681,"about_ca_topic_score_gemma":0.003701492,"domain_scores_codex":[0.9978027,0.00007969874,0.0006593058,0.0001679662,0.0005867198,0.0007035987],"domain_scores_gemma":[0.9981024,0.0001686224,0.000246302,0.0001400735,0.0008099995,0.0005326292],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004408939,0.00004044376,0.8623618,0.0001533213,0.00002351293,0.000002685697,0.06748118,0.0000614543,0.00001620662,0.006220739,0.02304496,0.04054965],"study_design_scores_gemma":[0.0007577767,0.00003283811,0.8059568,0.0006226395,0.000007123305,0.000002466054,0.02411683,0.00003924614,0.000005102446,0.00107086,0.1672446,0.0001436869],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9799485,0.0003112121,0.0004569086,0.001718557,0.004695554,0.0008634652,0.00003749942,0.00001389283,0.01195442],"genre_scores_gemma":[0.9912873,0.00002568295,0.0001246112,0.002517232,0.00008754366,0.0001196329,0.000008908472,0.000005713735,0.005823376],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1441996,"threshold_uncertainty_score":0.9992515,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04938712154699483,"score_gpt":0.4180264675172557,"score_spread":0.3686393459702609,"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."}}