{"id":"W4398278240","doi":"10.7910/dvn/pkjufn/s8nrl4","title":"FCC2001.357.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":[0.00006165969,0.0004486424,0.0004869549,0.00009786112,0.00006219425,0.0001122693,0.0006718973,0.0003691305,0.0161264],"category_scores_gemma":[0.00004168634,0.0004732995,0.0001397471,0.000189463,0.00004657588,0.0001691681,0.0001964814,0.0007406691,0.3288676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006977755,"about_ca_system_score_gemma":0.00002686692,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007870425,"about_ca_topic_score_gemma":0.00006847568,"domain_scores_codex":[0.9985064,0.00002799847,0.0003310482,0.0003992225,0.0002803143,0.000455079],"domain_scores_gemma":[0.9985402,0.0000474912,0.00005869854,0.00107067,0.00002268325,0.0002602422],"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":[0.00001024383,0.00001401629,4.273192e-7,0.0002440325,0.0001046498,0.0002265314,0.000009770419,0.002840884,0.00002179984,0.000007190862,0.9961468,0.0003736635],"study_design_scores_gemma":[0.0002646125,0.00002251573,0.000004605143,0.00008623883,0.000103547,0.00001350378,0.00001575285,0.003542014,0.00002254897,0.000003819432,0.9954038,0.0005170816],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000007293835,0.000005842381,0.00008348463,0.00000431812,0.001769094,0.0001788025,0.9968055,0.0003693652,0.0007762407],"genre_scores_gemma":[0.00003586499,0.00195304,0.0001731426,0.0002916436,0.001419933,0.00001337328,0.9959141,0.00007894637,0.0001199682],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3127412,"threshold_uncertainty_score":0.9997719,"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."}}