{"id":"W4398493710","doi":"10.7910/dvn/pkjufn/5zc4ls","title":"FCC2002.093.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":[0.0009806433,0.003151649,0.001586088,0.003676238,0.001046152,0.003062558,0.00369903,0.00287637,0.0852474],"category_scores_gemma":[0.005554967,0.0007155754,0.001707071,0.006505813,0.0005268315,0.00170521,0.001954959,0.001683709,0.1470841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001624043,"about_ca_system_score_gemma":0.002237414,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04150771,"about_ca_topic_score_gemma":0.06594371,"domain_scores_codex":[0.9989113,0.0001587762,0.0001113941,0.0003157359,0.0002393986,0.0002635713],"domain_scores_gemma":[0.9978709,0.0004017609,0.000172573,0.0006392079,0.0006280957,0.0002874231],"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":[0.00004754421,0.00001156701,0.0002848414,0.0002334657,0.00001447999,0.000009911099,0.000006823951,0.0002353965,0.00004769116,0.0002135625,0.9978234,0.001071471],"study_design_scores_gemma":[0.0003906245,0.00003783761,0.003547728,0.000279684,0.00003609127,0.00006312132,0.00008505349,0.001263308,0.0003947111,0.001643382,0.9922183,0.00004019255],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009121768,0.00005068281,0.00003474971,0.00006209232,0.00003312029,0.000005997958,0.99861,0.0004204898,0.0006915974],"genre_scores_gemma":[0.0003404486,0.00003918039,0.0001120694,0.00004386347,0.00001151844,0.00002378179,0.9988809,0.00006314104,0.0004850786],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9147526,"threshold_uncertainty_score":0.2851809,"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."}}