{"id":"W4398516390","doi":"10.7910/dvn/pkjufn/gxm0dm","title":"FCC2003.067.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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0000620442,0.000448387,0.0004862345,0.00009648403,0.0000630061,0.0001113355,0.000660498,0.0003689235,0.01607093],"category_scores_gemma":[0.00004737304,0.0004734223,0.0001320634,0.000209058,0.00004653848,0.0001662855,0.0001902956,0.0007441139,0.3261899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006917068,"about_ca_system_score_gemma":0.00002984251,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006855573,"about_ca_topic_score_gemma":0.00005881912,"domain_scores_codex":[0.9985142,0.00002930883,0.0003303698,0.0003992035,0.0002792172,0.0004476731],"domain_scores_gemma":[0.9985448,0.00004327477,0.0000586464,0.001070758,0.00002541521,0.0002571116],"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":[0.000009865056,0.00001369413,4.290235e-7,0.0002470866,0.0001034064,0.0002133648,0.000009868558,0.002373476,0.000019687,0.000008646511,0.9966343,0.0003661951],"study_design_scores_gemma":[0.0002610971,0.00002247114,0.000004655684,0.00008561202,0.0001035733,0.00001291531,0.00001538778,0.003495455,0.00002509437,0.000003259152,0.9954534,0.0005170675],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000006402925,0.000006101087,0.00009804408,0.000003713688,0.00182207,0.0001807701,0.9967076,0.0003549943,0.0008203348],"genre_scores_gemma":[0.00003271672,0.001875835,0.0001941805,0.0003049249,0.001335892,0.00001346998,0.9960469,0.00007913708,0.0001169179],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.310119,"threshold_uncertainty_score":0.9997718,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01230965556635483,"score_gpt":0.2021706432790923,"score_spread":0.1898609877127374,"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."}}