{"id":"W4398725579","doi":"10.7910/dvn/pkjufn/uq0qyx","title":"FCC2002.032.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":[0.0009676273,0.003174875,0.001587861,0.003594851,0.001044453,0.003049174,0.003678867,0.002894387,0.08189874],"category_scores_gemma":[0.005564278,0.0007093181,0.001659118,0.006394804,0.0005204523,0.001754356,0.00194408,0.001693834,0.1427004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001629832,"about_ca_system_score_gemma":0.002194721,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04214126,"about_ca_topic_score_gemma":0.06671035,"domain_scores_codex":[0.9989088,0.0001596653,0.0001086889,0.0003141978,0.000246525,0.0002622233],"domain_scores_gemma":[0.9978527,0.0003956245,0.0001714503,0.0006510282,0.0006438207,0.0002855376],"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":[0.0000456982,0.00001131226,0.0002788888,0.0002253634,0.00001394816,0.000009631039,0.000006676687,0.0002457833,0.00004697611,0.0002154029,0.9978153,0.001085051],"study_design_scores_gemma":[0.0003677557,0.00003681285,0.003437155,0.0002750507,0.00003499386,0.00006257445,0.00008380065,0.001343667,0.0003997615,0.00169698,0.9922217,0.00003975786],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009409789,0.00005294315,0.00003767591,0.0000663338,0.00003423382,0.000006123379,0.9985597,0.0004478484,0.0007009557],"genre_scores_gemma":[0.0003536814,0.00004084986,0.0001225474,0.0000454945,0.00001178336,0.00002397597,0.9988495,0.00006608479,0.000486116],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9181013,"threshold_uncertainty_score":0.2739786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01187236638933411,"score_gpt":0.1983620846570462,"score_spread":0.1864897182677121,"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."}}