{"id":"W6929885093","doi":"10.5281/zenodo.10668709","title":"Evaluating Equity and Inclusion in Cultural Heritage Grantmaking: Report and Supplementary Materials","year":2025,"lang":"en","type":"report","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Parasites and Host Interactions","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Inclusion (mineral); Digitization; Cultural heritage; Thematic analysis; Stakeholder; Appeal; Equity (law)","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":"codex-gemma-dda1882f352a","candidate_categories":["sts","open_science","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002232961,0.0001986837,0.0003295042,0.0002755267,0.003322234,0.0003551926,0.0004370394,0.0002124278,0.01244519],"category_scores_gemma":[0.00103436,0.0001936768,0.0000366785,0.0001725743,0.0001706433,0.0001345125,0.02175245,0.0004618839,0.0001722249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002605572,"about_ca_system_score_gemma":0.00002044013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008862748,"about_ca_topic_score_gemma":0.00001810085,"domain_scores_codex":[0.9979903,0.0004748963,0.0005125598,0.0005163033,0.0001863825,0.000319617],"domain_scores_gemma":[0.9989002,0.00004669363,0.0002607259,0.0002873489,0.000470114,0.00003493739],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000300364,0.0002189727,0.00009607201,0.0007023902,0.0003153906,0.0002960842,0.003766133,0.000002556548,0.5661506,0.0004532456,0.241091,0.1866072],"study_design_scores_gemma":[0.000596769,0.0001728624,0.001542123,0.0002850817,0.00005767819,0.002774185,0.0003468204,0.000003690292,0.002150182,0.0001832136,0.9916855,0.0002019234],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7200715,0.004143032,0.00005569465,0.001850322,0.001760636,0.001848851,0.005333003,0.0004657528,0.2644712],"genre_scores_gemma":[0.9462003,0.002196984,0.0001290643,0.0001394655,0.000127405,3.146629e-7,0.03815207,0.0005534128,0.01250102],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7505945,"threshold_uncertainty_score":0.9979753,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1084629886463183,"score_gpt":0.4096703221626439,"score_spread":0.3012073335163256,"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."}}