{"id":"W4398337888","doi":"10.7910/dvn/pkjufn/hjcy5n","title":"FCC2001.068.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":[0.00006203261,0.0004526036,0.0004908097,0.00009881884,0.00006302931,0.0001101307,0.0006774352,0.0003720719,0.01739405],"category_scores_gemma":[0.00004264102,0.0004777242,0.0001396122,0.0001945961,0.00004659279,0.0001700262,0.0001988777,0.000745881,0.3370026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000695486,"about_ca_system_score_gemma":0.00002761603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000746738,"about_ca_topic_score_gemma":0.00006795675,"domain_scores_codex":[0.9984927,0.00002827671,0.0003356794,0.0004024537,0.0002824699,0.0004584519],"domain_scores_gemma":[0.9985275,0.00004652359,0.00005914189,0.001078254,0.00002309907,0.0002654305],"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":[0.00001023589,0.00001420356,4.465166e-7,0.0002457902,0.0001066265,0.0002208787,0.000009805822,0.002878271,0.00002002333,0.000007183937,0.9961205,0.0003661044],"study_design_scores_gemma":[0.0002660143,0.00002222427,0.000004551743,0.00008562529,0.0001049444,0.00001325137,0.00001556678,0.003763081,0.00002127266,0.000003847513,0.9951777,0.0005219299],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000006580919,0.000006367608,0.00008651432,0.000004333524,0.001863477,0.0001810317,0.9966844,0.0003742632,0.0007930343],"genre_scores_gemma":[0.00003360393,0.002107607,0.0001724805,0.0002943863,0.001452375,0.00001359902,0.9957228,0.00008008288,0.0001230456],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3196086,"threshold_uncertainty_score":0.9997674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0118495727525685,"score_gpt":0.1999503156488169,"score_spread":0.1881007428962485,"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."}}