{"id":"W4398417618","doi":"10.7910/dvn/pkjufn/ymtq4j","title":"FCC2002.050.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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000968077,0.003139154,0.001545843,0.003570565,0.001003375,0.002933568,0.00352452,0.002758601,0.07827004],"category_scores_gemma":[0.005331143,0.0006985841,0.001598934,0.00632995,0.0005179007,0.001682549,0.001861523,0.001647337,0.1366465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00164553,"about_ca_system_score_gemma":0.002192203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04231453,"about_ca_topic_score_gemma":0.06692004,"domain_scores_codex":[0.9989178,0.0001565455,0.0001080368,0.0003102571,0.0002464186,0.0002610756],"domain_scores_gemma":[0.9979086,0.0003828399,0.0001689592,0.0006350909,0.0006224652,0.0002820404],"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":[0.00004919381,0.00001155612,0.000268867,0.0002248037,0.00001383471,0.00000955724,0.000006632613,0.0002416428,0.00005013504,0.0002147147,0.9978032,0.001105953],"study_design_scores_gemma":[0.0003798851,0.0000391457,0.003652299,0.0002665288,0.00003467925,0.00006391703,0.00008450988,0.001321503,0.0004227806,0.001661928,0.9920326,0.00004010808],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009648465,0.00005035549,0.00003513788,0.00006230344,0.00003279224,0.0000059775,0.9985911,0.0004238389,0.0007019846],"genre_scores_gemma":[0.0003499505,0.00003892837,0.0001128039,0.00004184349,0.00001115191,0.00002273486,0.9988908,0.00006160299,0.0004701994],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.92173,"threshold_uncertainty_score":0.2618394,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01187260657675444,"score_gpt":0.1983605874647086,"score_spread":0.1864879808879542,"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."}}