{"id":"W4398584401","doi":"10.7910/dvn/pkjufn/twwyjx","title":"FCC2001.032.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":[0.0009660471,0.003169037,0.001608535,0.003627527,0.001071693,0.003081336,0.003760721,0.002914201,0.08745635],"category_scores_gemma":[0.005619952,0.0007249781,0.001665554,0.006371867,0.0005235606,0.001750393,0.001992188,0.001706986,0.1504087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001667984,"about_ca_system_score_gemma":0.002215194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04225578,"about_ca_topic_score_gemma":0.06758872,"domain_scores_codex":[0.9989065,0.0001601921,0.0001097507,0.0003156263,0.0002431505,0.0002647112],"domain_scores_gemma":[0.9977975,0.0004175632,0.0001772629,0.0006591041,0.0006564863,0.0002921426],"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":[0.00004520426,0.00001095176,0.0002690322,0.0002295042,0.00001355581,0.000009370341,0.0000066689,0.0002346464,0.00004467033,0.0002172028,0.9978527,0.001066411],"study_design_scores_gemma":[0.0003647207,0.00003547755,0.003319389,0.0002803431,0.00003404702,0.00006019904,0.00008088809,0.001281767,0.0003804974,0.001692015,0.9924313,0.0000393441],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008685506,0.00005184097,0.00003607003,0.00006547984,0.00003337644,0.000005991712,0.99858,0.0004347448,0.0007056494],"genre_scores_gemma":[0.0003415508,0.00004078827,0.0001189346,0.00004659277,0.00001164907,0.00002405727,0.998855,0.00006599666,0.0004954577],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9125437,"threshold_uncertainty_score":0.2925707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01185332379072606,"score_gpt":0.2000363718957978,"score_spread":0.1881830481050718,"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."}}