{"id":"W4404120670","doi":"10.18357/anthropologica66120242711","title":"Where Cloud is Ground. Placing Data and Making Place in Iceland, par Alix Johnson","year":2024,"lang":"en","type":"article","venue":"Anthropologica","topic":"Data Analysis and Archiving","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001495457,0.0005330469,0.0002847179,0.002421371,0.005684095,0.006370222,0.0006067721,0.0007489381,0.01782821],"category_scores_gemma":[0.004259414,0.0004044763,0.0002387888,0.005486677,0.004070304,0.005767083,0.002863637,0.001457951,0.003232955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005466016,"about_ca_system_score_gemma":0.009426329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4490374,"about_ca_topic_score_gemma":0.6278049,"domain_scores_codex":[0.9993303,0.0001811347,0.00007775505,0.0001142034,0.0002194304,0.00007723682],"domain_scores_gemma":[0.998719,0.0004503313,0.0001262056,0.0001733994,0.0003407942,0.0001904367],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.00005145808,0.00001640513,0.01236986,0.000289774,0.00001799956,0.0004008998,0.02168062,0.0008103165,0.0006503196,0.06694687,0.6655324,0.2312332],"study_design_scores_gemma":[0.000001858134,0.00000258693,0.006953469,0.0005694724,0.000005995516,0.00009949575,0.01951729,0.0001943284,0.0003284425,0.00434728,0.9679644,0.00001547225],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0338917,0.08111298,0.04304991,0.1760462,0.02107354,0.0003564438,0.0283656,0.002266348,0.6138372],"genre_scores_gemma":[0.3129316,0.1201776,0.1379841,0.01621231,0.004222581,0.0005091413,0.01723058,0.004419329,0.3863128],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9943159,"threshold_uncertainty_score":0.8928474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05484474636815544,"score_gpt":0.3860675366120992,"score_spread":0.3312227902439437,"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."}}