{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007841466,0.0001057119,0.0001831538,0.00008514296,0.0009293779,0.0003734202,0.0004358076,0.00007330963,0.001039335],"category_scores_gemma":[0.0001018399,0.00008399037,0.0000306746,0.0003373066,0.0005508787,0.0004462169,0.0003899296,0.0001877223,0.00004061307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002415026,"about_ca_system_score_gemma":0.00004629653,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00583697,"about_ca_topic_score_gemma":0.019012,"domain_scores_codex":[0.9986189,0.0001931805,0.0001881676,0.0004786173,0.000189691,0.0003314647],"domain_scores_gemma":[0.9993054,0.0002962893,0.00004218529,0.0002970111,0.000005945692,0.00005316469],"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":[0.00008486993,0.0002748971,0.1879758,0.0004473817,0.0003404996,0.001578809,0.1489636,0.00001945799,0.0007498245,0.1050532,0.2985066,0.256005],"study_design_scores_gemma":[0.0001408526,0.00004724477,0.004267165,0.000405036,0.00005525475,0.000007464751,0.0476923,0.004722432,0.00001544106,0.00279341,0.9395503,0.0003030715],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.846505,0.03145659,0.001762317,0.03882157,0.00146215,0.0003696858,0.0003768417,0.0003650607,0.07888076],"genre_scores_gemma":[0.985094,0.01332371,0.0004338007,0.00024931,0.0003100889,0.0000024526,0.00003370862,0.000007891246,0.0005450806],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6410437,"threshold_uncertainty_score":0.9998739,"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."}}