{"id":"W4398516763","doi":"10.7910/dvn/pkjufn/wliymn","title":"FCC2003.080.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":[0.00006123818,0.0004486093,0.0004866585,0.00009644986,0.00006247601,0.0001118825,0.000662989,0.0003690147,0.01544971],"category_scores_gemma":[0.00004796931,0.0004736054,0.0001321053,0.0002095205,0.00004667349,0.0001667854,0.0001900504,0.0007385092,0.3213112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006918494,"about_ca_system_score_gemma":0.00003009984,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007062541,"about_ca_topic_score_gemma":0.00006224294,"domain_scores_codex":[0.9985137,0.00002884755,0.0003307113,0.000399497,0.0002790788,0.0004481918],"domain_scores_gemma":[0.9985433,0.00004346779,0.00005890596,0.001072043,0.00002539122,0.0002569502],"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":[0.000009932241,0.00001368063,4.102569e-7,0.0002463033,0.0001047223,0.0002134154,0.000009765985,0.002412753,0.00002079748,0.000008606813,0.9966199,0.0003396958],"study_design_scores_gemma":[0.0002610816,0.00002238583,0.000005574712,0.0000848799,0.0001034783,0.00001277335,0.00001547959,0.00336007,0.00002255789,0.00000337213,0.995591,0.0005173747],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000006793872,0.00000628511,0.00009399535,0.000003745873,0.001824566,0.0001812419,0.9967249,0.0003619801,0.0007964652],"genre_scores_gemma":[0.00003146323,0.001842123,0.000188157,0.000309474,0.001338867,0.00001349632,0.99608,0.00007929122,0.0001170797],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3058615,"threshold_uncertainty_score":0.9997715,"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."}}