{"id":"W4398530025","doi":"10.7910/dvn/pkjufn/ztk398","title":"FCC2002.333.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":[0.0009272993,0.003140233,0.001579068,0.00365182,0.001024374,0.003139918,0.003681757,0.00275904,0.08628231],"category_scores_gemma":[0.004958571,0.0007144964,0.00164347,0.006844452,0.0005056686,0.001727572,0.001886093,0.001706593,0.1542676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001645422,"about_ca_system_score_gemma":0.002058954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03984971,"about_ca_topic_score_gemma":0.06294414,"domain_scores_codex":[0.9989129,0.0001605724,0.0001181943,0.0003094737,0.0002314822,0.0002673175],"domain_scores_gemma":[0.9979671,0.0003793234,0.0001767865,0.000609523,0.0005979943,0.0002692245],"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":[0.00005035961,0.00001215077,0.000277948,0.0002413603,0.00001477341,0.00001076428,0.000006545954,0.0002281698,0.00004833725,0.0002428681,0.997776,0.001090731],"study_design_scores_gemma":[0.0003270809,0.00003326306,0.003113484,0.0002572552,0.00003017462,0.00006014518,0.00006967282,0.0009987568,0.0003593322,0.001384155,0.9933322,0.00003448144],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008748309,0.00004930577,0.00003574876,0.00005277095,0.00003031138,0.000005386005,0.9984998,0.0004255183,0.0008137808],"genre_scores_gemma":[0.0003089975,0.00003585082,0.000100069,0.00003877085,0.000009052291,0.00001974978,0.9989581,0.00006105249,0.0004683433],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9137177,"threshold_uncertainty_score":0.2886431,"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."}}