{"id":"W4398355587","doi":"10.7910/dvn/pkjufn/vcvztl","title":"FCC2001.036.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":[0.00006022911,0.0004463295,0.0004830617,0.00009655981,0.00006218976,0.0001129283,0.0006812539,0.0003675931,0.01501549],"category_scores_gemma":[0.00004273282,0.0004701104,0.000138661,0.0001868708,0.00004631331,0.0001728399,0.0002011233,0.0007366191,0.3277998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000676476,"about_ca_system_score_gemma":0.00002363744,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008688821,"about_ca_topic_score_gemma":0.00006916843,"domain_scores_codex":[0.9985138,0.00002716843,0.0003303193,0.0003970669,0.0002781776,0.0004535071],"domain_scores_gemma":[0.998538,0.00004717652,0.000058407,0.00107357,0.00002297857,0.0002599384],"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":[0.00001026329,0.00001396283,2.865805e-7,0.0002427853,0.0001045394,0.00021862,0.000009186557,0.002841902,0.00002455365,0.000007006583,0.996034,0.0004928925],"study_design_scores_gemma":[0.0002605144,0.0000215763,0.000004742279,0.00008580579,0.0001024795,0.00001267195,0.00001519641,0.003222586,0.00002233961,0.000003874423,0.995733,0.0005152024],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000008021691,0.000006142027,0.00006736267,0.000004303957,0.001747441,0.0001763089,0.9968587,0.0003701404,0.0007616363],"genre_scores_gemma":[0.00004067299,0.002052196,0.0001755214,0.0002983728,0.00142989,0.00001327994,0.995816,0.00007884917,0.00009520011],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3127843,"threshold_uncertainty_score":0.9997751,"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."}}