{"id":"W4398632515","doi":"10.7910/dvn/pkjufn/ce1stf","title":"FCC2002.080.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":[0.0009495056,0.003105782,0.001545835,0.003644224,0.0009997673,0.002978839,0.003476017,0.00274034,0.08338186],"category_scores_gemma":[0.005257993,0.0007063157,0.001629122,0.006440406,0.0005128842,0.001676112,0.001906036,0.001643291,0.1446327],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0016127,"about_ca_system_score_gemma":0.002175683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04201214,"about_ca_topic_score_gemma":0.06670098,"domain_scores_codex":[0.9989531,0.0001503791,0.0001052668,0.0003023699,0.0002334698,0.0002553408],"domain_scores_gemma":[0.9979614,0.0003791524,0.0001688441,0.0006085879,0.0006015229,0.0002805551],"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":[0.00004665105,0.00001100613,0.0002731564,0.0002254817,0.0000137211,0.000009231558,0.000006545886,0.0002216603,0.00004632219,0.0002094135,0.9978732,0.001063701],"study_design_scores_gemma":[0.0003714416,0.00003702068,0.003675706,0.0002720605,0.00003424359,0.00005967605,0.00008380848,0.001170143,0.0003768321,0.001603326,0.9922766,0.00003909395],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008823516,0.00004932806,0.00003202158,0.00006074223,0.00003215568,0.000005545915,0.9986539,0.0003891217,0.0006888512],"genre_scores_gemma":[0.0003350491,0.00003958416,0.0001043865,0.00004206605,0.00001131686,0.00002261617,0.9988932,0.00005988504,0.0004917689],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9166181,"threshold_uncertainty_score":0.2789401,"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."}}