{"id":"W4398462297","doi":"10.7910/dvn/pkjufn/hbbqss","title":"FCC2001.026.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":[0.0009809321,0.003177615,0.001621851,0.003692477,0.001069283,0.003095553,0.003735163,0.002906228,0.09033721],"category_scores_gemma":[0.005735277,0.000728143,0.001659723,0.006518088,0.0005220753,0.001754098,0.00199187,0.001708002,0.1546539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001676197,"about_ca_system_score_gemma":0.002236031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04196176,"about_ca_topic_score_gemma":0.06673915,"domain_scores_codex":[0.9989009,0.0001629604,0.0001118449,0.0003182053,0.000242353,0.0002637889],"domain_scores_gemma":[0.997754,0.0004281059,0.0001827483,0.0006694939,0.0006624271,0.0003032633],"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":[0.00004561206,0.00001073257,0.0002598752,0.0002290693,0.00001329857,0.000009107147,0.000006591363,0.0002210044,0.00004303785,0.0002134847,0.9978795,0.001068699],"study_design_scores_gemma":[0.0003679391,0.00003486615,0.003226835,0.0002795277,0.00003344639,0.00005763256,0.00007901656,0.001171027,0.0003628912,0.001636252,0.9927123,0.00003839676],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008283345,0.00005088142,0.00003427006,0.00006543798,0.00003291793,0.000005956335,0.998607,0.0004192468,0.000701456],"genre_scores_gemma":[0.0003266908,0.00004054347,0.0001153697,0.00004574508,0.00001163024,0.00002407726,0.9988778,0.00006501408,0.000493018],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9096628,"threshold_uncertainty_score":0.3022081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01184896424148209,"score_gpt":0.200025994117049,"score_spread":0.1881770298755669,"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."}}