{"id":"W4398624241","doi":"10.7910/dvn/pkjufn/tairx3","title":"FCC2001.104.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":[0.001053317,0.003396345,0.001725857,0.004064818,0.00112497,0.003471429,0.003819937,0.002997991,0.08475751],"category_scores_gemma":[0.006068605,0.0007495782,0.001702086,0.00811756,0.0005260224,0.001901753,0.002029233,0.001765855,0.1631747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001818572,"about_ca_system_score_gemma":0.002420343,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04807372,"about_ca_topic_score_gemma":0.07734297,"domain_scores_codex":[0.9986579,0.0001988839,0.0001538084,0.0003635147,0.0003094997,0.000316361],"domain_scores_gemma":[0.9974456,0.0004813559,0.0002075123,0.0007205876,0.0008345497,0.0003104505],"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":[0.00004465071,0.00001090736,0.0002629512,0.000247325,0.00001425682,0.00001048042,0.00000643068,0.0002029022,0.0000425991,0.0002359613,0.9978427,0.001078843],"study_design_scores_gemma":[0.0002860773,0.00002988049,0.002838246,0.0003137907,0.00002956363,0.00005774201,0.00006843673,0.0008583898,0.000326967,0.001263607,0.993894,0.00003318192],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000765255,0.00005813186,0.0000331922,0.0000537249,0.00003231852,0.000005226502,0.998435,0.0004255808,0.0008803593],"genre_scores_gemma":[0.0002471115,0.00003784674,0.0000928148,0.00003983134,0.000008140016,0.00001783368,0.9990631,0.00006328998,0.0004301258],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9152425,"threshold_uncertainty_score":0.2835421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01181224257319654,"score_gpt":0.1996955634470321,"score_spread":0.1878833208738355,"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."}}