{"id":"W4398563546","doi":"10.7910/dvn/pkjufn/oci1tx","title":"FCC2002.045.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":[0.00005992445,0.0004396377,0.0004733474,0.00006230086,0.00006110568,0.0001102813,0.0006591873,0.0003654023,0.01621547],"category_scores_gemma":[0.00004690293,0.0004599041,0.0001377179,0.0001767374,0.00004432534,0.0001625805,0.0001922427,0.0007397142,0.2793755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006530164,"about_ca_system_score_gemma":0.00002067774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004769915,"about_ca_topic_score_gemma":0.00006186067,"domain_scores_codex":[0.9984837,0.00002684819,0.0003244064,0.0003889455,0.0003409652,0.0004351476],"domain_scores_gemma":[0.9985827,0.00004988667,0.0000574152,0.001039741,0.00001936493,0.0002509423],"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":[0.0000104849,0.00001360609,4.319852e-7,0.0002363134,0.0001049638,0.0002152799,0.000009354108,0.002415528,0.00002333961,0.000006336717,0.9964433,0.0005210226],"study_design_scores_gemma":[0.0002529297,0.00002224338,0.000004301228,0.00008626107,0.0001050637,0.00001232299,0.00001617846,0.003821705,0.00002812861,0.000003115633,0.9951409,0.0005068423],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00000637545,0.000005610433,0.00008872405,0.000003957973,0.001659565,0.0001716351,0.9968287,0.0003415082,0.0008939678],"genre_scores_gemma":[0.00004438848,0.001694448,0.0001652967,0.0002861457,0.001385078,0.00001320593,0.9962155,0.00007652405,0.0001193639],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.26316,"threshold_uncertainty_score":0.9997852,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01186855000602602,"score_gpt":0.1982685848667247,"score_spread":0.1864000348606986,"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."}}