{"id":"W4398696689","doi":"10.7910/dvn/pkjufn/s1fshu","title":"FCC2001.360.ran","year":2020,"lang":"en","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":[0.00006192267,0.0004487944,0.0004874243,0.00009794376,0.00006242053,0.0001124498,0.0006743438,0.0003661842,0.01573975],"category_scores_gemma":[0.00004119653,0.0004734802,0.0001398382,0.0001898301,0.00004769543,0.0001692571,0.0001982766,0.0007411392,0.3241826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006961096,"about_ca_system_score_gemma":0.00002723385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007997541,"about_ca_topic_score_gemma":0.0000718388,"domain_scores_codex":[0.9985047,0.00002806731,0.000331539,0.0003999248,0.0002805095,0.0004552439],"domain_scores_gemma":[0.9985377,0.00004754393,0.00005877109,0.001072744,0.00002271385,0.0002604816],"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":[0.00001035916,0.00001402445,4.174805e-7,0.0002435606,0.0001061621,0.0002238936,0.000009551455,0.002823971,0.00002037257,0.000007009944,0.9961128,0.0004279272],"study_design_scores_gemma":[0.0002649642,0.00002254075,0.000004509149,0.00008629959,0.0001049332,0.00001329653,0.00001530346,0.003759823,0.00002135807,0.000003918469,0.9951858,0.0005172744],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000006442812,0.000006759112,0.00008699502,0.00000437722,0.001772685,0.0001787784,0.9967632,0.0003733433,0.0008074702],"genre_scores_gemma":[0.000031207,0.001952625,0.0001766935,0.0003131332,0.001432183,0.00001336019,0.9958752,0.00007933363,0.0001262325],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3084429,"threshold_uncertainty_score":0.9997717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01184407075074647,"score_gpt":0.1999260661161203,"score_spread":0.1880819953653738,"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."}}