{"id":"W6902422766","doi":"10.7275/8050","title":"Arctic Infrastructures: Tele Field Notes","year":2014,"lang":"en","type":"other","venue":"University of Massachusetts (UMass) Amherst","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Globe; Indigenous; Government (linguistics); Field (mathematics); The arctic; Process (computing)","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003138656,0.0008145059,0.001154963,0.001223548,0.0002155031,0.00004628678,0.001566555,0.001212776,0.03681848],"category_scores_gemma":[0.0003723474,0.00098166,0.0004869211,0.0005245846,0.0006267218,0.0001599055,0.0002379882,0.0009451982,0.005271453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003878525,"about_ca_system_score_gemma":0.0002004983,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007658781,"about_ca_topic_score_gemma":0.008002176,"domain_scores_codex":[0.9967276,0.0003124832,0.0003295752,0.0009741238,0.0008815363,0.0007746757],"domain_scores_gemma":[0.9964278,0.0005379391,0.001035495,0.00150121,0.0001608078,0.0003367861],"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":[0.0001680545,0.0001076361,0.007754444,0.000516115,0.0006346483,0.00008778343,0.0006627436,0.00004662678,0.0004604728,0.0004679404,0.9881596,0.0009339354],"study_design_scores_gemma":[0.002034909,0.0001905175,0.001895883,0.0007257445,0.0005413318,0.00001225833,0.0008804806,0.00004479317,0.0001658916,0.0001766725,0.9922788,0.001052715],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0007961743,0.0003142074,0.002786007,0.000635974,0.0006723859,0.0007854982,0.00110211,0.001111329,0.9917963],"genre_scores_gemma":[0.2303424,0.0001250601,0.01141258,0.0004799156,0.0008876726,0.000001324591,0.000662597,0.002269248,0.7538192],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2379771,"threshold_uncertainty_score":0.9992634,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007804378459490004,"score_gpt":0.1978648816922046,"score_spread":0.1900605032327146,"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."}}