{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00006353098,0.0004374963,0.0004712818,0.00009791586,0.00006519244,0.0001166058,0.0006518787,0.0003545032,0.01404402],"category_scores_gemma":[0.00004528307,0.0004649029,0.0001352329,0.0001853768,0.00004430217,0.0001662999,0.0001955043,0.0007372121,0.2950393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007033047,"about_ca_system_score_gemma":0.0000260475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000758474,"about_ca_topic_score_gemma":0.00006015529,"domain_scores_codex":[0.9985327,0.00002665167,0.0003245556,0.0003926911,0.0002735463,0.0004498705],"domain_scores_gemma":[0.9986036,0.00004796494,0.00005929023,0.00101914,0.00002211983,0.0002478276],"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":[0.000009443985,0.00001283726,4.435007e-7,0.0002110648,0.0001001289,0.0002133359,0.00001057285,0.003164061,0.00002213648,0.000007176079,0.995754,0.0004947794],"study_design_scores_gemma":[0.0002503615,0.00002107367,0.000003424913,0.0001065508,0.00009962649,0.00001294132,0.00001562045,0.00423178,0.00002210459,0.000002901455,0.9947265,0.0005071168],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000007822453,0.000005815719,0.00009414271,0.000003868414,0.001712237,0.0001680809,0.9968174,0.0003787181,0.0008118824],"genre_scores_gemma":[0.00004042642,0.001687769,0.0001882162,0.0002821745,0.001416169,0.00001210525,0.9961999,0.00007879351,0.00009442955],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2809953,"threshold_uncertainty_score":0.9997803,"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."}}