{"id":"W4398705401","doi":"10.7910/dvn/pkjufn/oqlemc","title":"FCC2001.140.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":[0.00006169459,0.0004486639,0.0004870768,0.00009792278,0.00006245462,0.0001123483,0.0006724562,0.0003692301,0.01630287],"category_scores_gemma":[0.00004168495,0.0004734196,0.0001397924,0.0001895135,0.00004664774,0.0001692096,0.0001973479,0.0007406915,0.3272235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006966316,"about_ca_system_score_gemma":0.00002741404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007714109,"about_ca_topic_score_gemma":0.00006613658,"domain_scores_codex":[0.9985059,0.00002798794,0.0003314244,0.0003992563,0.0002803645,0.0004550829],"domain_scores_gemma":[0.9985396,0.00004742918,0.00005877178,0.001071434,0.00002268856,0.0002601336],"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":[0.00001038635,0.00001401976,4.092628e-7,0.0002440005,0.0001046885,0.0002238814,0.000009743952,0.002893431,0.00002091537,0.000007075348,0.9960635,0.0004079186],"study_design_scores_gemma":[0.00026553,0.00002250846,0.000004462426,0.00008501044,0.0001035664,0.00001316055,0.00001544064,0.003893838,0.00002178637,0.000003777146,0.9950538,0.0005170897],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000006646927,0.000005981257,0.00009204855,0.000004383111,0.001772364,0.000178691,0.9967608,0.000371798,0.0008073084],"genre_scores_gemma":[0.00003188298,0.002073371,0.000182277,0.0002998032,0.001436035,0.0000133635,0.9957669,0.00007929182,0.0001171241],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3109207,"threshold_uncertainty_score":0.9997718,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01184558204832753,"score_gpt":0.1998632451143943,"score_spread":0.1880176630660668,"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."}}