{"id":"W4392165128","doi":"10.1111/imcb.12738","title":"Access all areas: multisensory science exhibitions tailored toward blind, low‐vision and diverse‐needs communities","year":2024,"lang":"en","type":"article","venue":"Immunology and Cell Biology","topic":"Conservation Techniques and Studies","field":"Arts and Humanities","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Infection and Immunity","funders":"Australian Research Council Centre of Excellence in Advanced Molecular Imaging; Royal Society; Department of Industry, Science, Energy and Resources, Australian Government; Monash University; Australian Research Council; University of New South Wales; Retina Australia","keywords":"Outreach; Exhibition; Citizen science; Vision science; Psychology; Public relations; Medical education; Sociology; Political science; Computer science; Medicine; Visual arts; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.0001762773,0.0001436506,0.0001871698,0.0003336962,0.0007838427,0.0002281943,0.0001952965,0.00009657408,0.0003513653],"category_scores_gemma":[0.00001233074,0.000111896,0.00003552974,0.00007445474,0.003697092,0.0002942561,0.0003457772,0.0002175789,0.00001816898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001788302,"about_ca_system_score_gemma":0.00003982579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008698109,"about_ca_topic_score_gemma":0.0005502531,"domain_scores_codex":[0.9992887,0.00007248341,0.0001770072,0.0001912282,0.00003937229,0.0002312534],"domain_scores_gemma":[0.9994727,0.0001933625,0.0000398406,0.0001504554,0.0001142899,0.00002930489],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000273755,0.0002289357,0.004029558,0.0002669936,0.0002988663,0.0000274927,0.1442535,8.662762e-7,0.03949986,0.7677283,0.003890158,0.03950178],"study_design_scores_gemma":[0.00175315,0.001333907,0.008856815,0.0002626588,0.0001717355,0.00005809437,0.1136986,0.0008491162,0.009120833,0.03023086,0.8327357,0.0009286088],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9738835,0.008836059,0.00006166377,0.001955713,0.0005870147,0.0001699616,0.00007102059,0.000204804,0.01423027],"genre_scores_gemma":[0.9922317,0.005912791,0.00003359297,0.0004335222,0.00006101427,0.00003168449,0.00003927914,0.000007168031,0.001249245],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8288455,"threshold_uncertainty_score":0.9990143,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07142483311846462,"score_gpt":0.3080768372934593,"score_spread":0.2366520041749947,"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."}}