{"id":"W4398512444","doi":"10.7910/dvn/pkjufn/qy5nwr","title":"FCC2001.111.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":[0.0000614622,0.0004484272,0.0004862551,0.00009782244,0.00006244858,0.0001122332,0.0006719607,0.000364251,0.01653779],"category_scores_gemma":[0.00003739738,0.0004732373,0.0001396566,0.0001875766,0.00004666863,0.0001691217,0.0001970829,0.0007405287,0.3301507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006983127,"about_ca_system_score_gemma":0.00002722602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007775245,"about_ca_topic_score_gemma":0.00006767471,"domain_scores_codex":[0.9985076,0.00002794344,0.0003307881,0.0003988635,0.0002800622,0.0004547193],"domain_scores_gemma":[0.998542,0.00004719308,0.00005865991,0.001069495,0.00002266019,0.0002600343],"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":[0.00001344539,0.00001407517,3.607718e-7,0.0002434018,0.0001045257,0.0002267574,0.00000977579,0.002841151,0.00002007667,0.000007108851,0.9961303,0.0003889998],"study_design_scores_gemma":[0.0002657807,0.00002853084,0.000003805462,0.0000841174,0.000102769,0.00001335353,0.00001546732,0.003673113,0.00001885873,0.000003815113,0.9952734,0.0005170021],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000007063162,0.000005947778,0.00008615397,0.000004267446,0.001755374,0.0001784613,0.9967515,0.00037169,0.0008394765],"genre_scores_gemma":[0.00003603637,0.001995506,0.0001743471,0.000296292,0.001431346,0.00001336038,0.9958583,0.00007925757,0.0001155181],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3136129,"threshold_uncertainty_score":0.999772,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01184513247438445,"score_gpt":0.1999972506932205,"score_spread":0.1881521182188361,"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."}}