{"id":"W4398357563","doi":"10.7910/dvn/pkjufn/qnil60","title":"FCC2001.054.ran","year":2020,"lang":"ru","type":"dataset","venue":"Harvard Dataverse","topic":"Wireless Sensor Networks and IoT","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Ran; Computer science; Computer network","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"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":[0.0002096001,0.001202695,0.001284005,0.0002255325,0.0002408323,0.0004085527,0.001652154,0.0009382982,0.06799879],"category_scores_gemma":[0.0001933172,0.001348418,0.0004129538,0.0005425476,0.0001602204,0.0004968486,0.000791996,0.001922183,0.7491766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002270619,"about_ca_system_score_gemma":0.0001136835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003205171,"about_ca_topic_score_gemma":0.0001251062,"domain_scores_codex":[0.9957208,0.0001282705,0.0009658278,0.001213828,0.0007079816,0.001263308],"domain_scores_gemma":[0.9961396,0.0001849806,0.0002533787,0.002522017,0.00007837805,0.0008216491],"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":[0.0000845662,0.0000902557,0.000005495003,0.0008083191,0.0004379021,0.0009945756,0.00008432147,0.006792374,0.000115939,0.00009720971,0.9892873,0.001201703],"study_design_scores_gemma":[0.0009784107,0.0001122517,0.00003116708,0.0004345877,0.0004675844,0.00004618273,0.0001284332,0.01613411,0.00005708405,0.000009531213,0.9802129,0.001387796],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005907264,0.00001813939,0.000371059,0.00002598705,0.004215088,0.000540335,0.9922298,0.000419655,0.002120929],"genre_scores_gemma":[0.0006296577,0.006062975,0.0006483553,0.0007276809,0.004117663,0.00002570986,0.986982,0.000240645,0.0005652366],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6811779,"threshold_uncertainty_score":0.9988965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01391304836315324,"score_gpt":0.2094018808504291,"score_spread":0.1954888324872759,"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."}}