{"id":"W4398591809","doi":"10.7910/dvn/pkjufn/bgz4g0","title":"FCC2001.270.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":[0.0000616869,0.0004488806,0.0004872366,0.00009778504,0.00006251202,0.0001130595,0.0006763675,0.0003691751,0.0158766],"category_scores_gemma":[0.00004173109,0.0004732548,0.0001398438,0.00018952,0.00004672588,0.0001704633,0.0001985926,0.000740958,0.3285444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007025499,"about_ca_system_score_gemma":0.00002743589,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007436642,"about_ca_topic_score_gemma":0.00006750167,"domain_scores_codex":[0.9985061,0.00002801564,0.0003311794,0.0003991698,0.0002804925,0.0004550445],"domain_scores_gemma":[0.99854,0.00004749437,0.00005872288,0.001070904,0.0000227098,0.0002602148],"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":[0.0000107436,0.00001400692,4.122244e-7,0.0002434276,0.0001047222,0.0002237723,0.00000980302,0.00277024,0.0000206793,0.000007006806,0.9962268,0.000368361],"study_design_scores_gemma":[0.000266117,0.00002288934,0.000004557663,0.00008615223,0.0001035761,0.00001305802,0.0000153138,0.003772782,0.00002164203,0.00000388391,0.9951731,0.000516929],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000006565126,0.000005958057,0.00008246468,0.00000444334,0.001807796,0.0001844924,0.9967358,0.0003802735,0.0007922317],"genre_scores_gemma":[0.00003298623,0.001988123,0.0001758799,0.0003095036,0.001435655,0.00001379049,0.9958467,0.00008052963,0.0001168012],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3126678,"threshold_uncertainty_score":0.9997719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01184558204832753,"score_gpt":0.1998632451143943,"score_spread":0.1880176630660668,"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."}}