{"id":"W6944809053","doi":"10.18739/a23b5w964","title":"\"Across the North: Alaskan Sámi Visual History in Archival Photographs.\" Research with archival photographs, circa 1894-1930s, Alaska, USA","year":2023,"lang":"en","type":"dataset","venue":"UC Santa Barbara","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ethnography; Government (linguistics); Metis; Herding; Multiculturalism; Work (physics)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001298747,0.0005217735,0.000302428,0.005749707,0.001235944,0.002021064,0.0009140649,0.0005132691,0.02230519],"category_scores_gemma":[0.004631419,0.0004928217,0.0003530611,0.01238841,0.0003681749,0.001732422,0.002066198,0.0008138485,0.01151056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00198512,"about_ca_system_score_gemma":0.001560858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1976994,"about_ca_topic_score_gemma":0.4151182,"domain_scores_codex":[0.9991393,0.0001885405,0.0001297171,0.0001863784,0.0002317273,0.0001242131],"domain_scores_gemma":[0.9970422,0.0005079963,0.000455014,0.0005503331,0.001289853,0.0001546569],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008711733,0.00003151614,0.02667703,0.001255016,0.00003902103,0.0001632158,0.006168069,0.0001939352,0.0002685251,0.002173109,0.9274106,0.03553284],"study_design_scores_gemma":[0.00001069392,0.000006414295,0.1348432,0.0006661728,0.00001866224,0.0001201577,0.01235356,0.000091776,0.0002772244,0.0004303513,0.8511581,0.00002368108],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.009456497,0.0007132667,0.0002778613,0.0002537913,0.00009048295,0.00006678752,0.9725781,0.0001542622,0.01640883],"genre_scores_gemma":[0.02825388,0.0009115543,0.002453056,0.00009305961,0.00003292465,0.0006443995,0.9584825,0.000127822,0.009000838],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1976994,"threshold_uncertainty_score":0.3930974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05899411887486838,"score_gpt":0.3439965632523933,"score_spread":0.2850024443775249,"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."}}