{"id":"W4399659886","doi":"10.32920/26042719","title":"Entangled Histories: \"the Sikkim Collection\" at the Royal Ontario Museum","year":2024,"lang":"en","type":"preprint","venue":"","topic":"South Asian Studies and Conflicts","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; University of Toronto","funders":"","keywords":"Data collection; Geography; Photography; Visual arts; Library science; Archaeology; History; Cartography; Art; Computer science; Sociology; Social science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000879013,0.0003479207,0.0002362214,0.001557386,0.01752657,0.004263143,0.0009590795,0.0006085847,0.01634621],"category_scores_gemma":[0.001864524,0.000418638,0.0001304785,0.003729278,0.01162071,0.002220312,0.004845039,0.00119752,0.0008823423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02084548,"about_ca_system_score_gemma":0.01495445,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6048975,"about_ca_topic_score_gemma":0.9152048,"domain_scores_codex":[0.9990008,0.0001881155,0.00002978217,0.0001487143,0.0003928217,0.0002396841],"domain_scores_gemma":[0.9991761,0.0001900812,0.0001513342,0.0001291386,0.0001379806,0.0002153805],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006981787,0.00001490048,0.01246323,0.0001820713,0.00001344958,0.001429838,0.9023481,0.00006406719,0.00182379,0.02279266,0.02266858,0.03612949],"study_design_scores_gemma":[0.000004444762,0.00002488664,0.06703299,0.000284878,0.00001500575,0.0006408422,0.4724422,0.00003111361,0.0006913454,0.001008943,0.4577911,0.00003237687],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7272378,0.003351333,0.0006160739,0.004953901,0.0001882113,0.000106176,0.0009090536,0.00008302749,0.2625545],"genre_scores_gemma":[0.8866175,0.001830741,0.0007254816,0.0003672243,0.00004964279,0.00005658118,0.0002812349,0.0001042205,0.1099673],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3951025,"threshold_uncertainty_score":0.7948587,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02753667577759158,"score_gpt":0.2757256860338987,"score_spread":0.2481890102563071,"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."}}