{"id":"W4398515639","doi":"10.7910/dvn/pkjufn/9a6sg8","title":"FCC2002.032.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":[0.00006185445,0.0004414083,0.0004793839,0.00006252383,0.0000614316,0.0001112309,0.000663934,0.000359491,0.0153865],"category_scores_gemma":[0.00004749117,0.0004651522,0.0001383255,0.0001785755,0.00004511578,0.0001645255,0.0001968951,0.0007303631,0.28144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006872679,"about_ca_system_score_gemma":0.00002111698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004765266,"about_ca_topic_score_gemma":0.00005956693,"domain_scores_codex":[0.9984711,0.00002748123,0.0003271324,0.0003912797,0.0003439031,0.0004390606],"domain_scores_gemma":[0.9985643,0.00004964179,0.00005783604,0.001056742,0.0000195011,0.0002519931],"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":[0.00001049248,0.00001368651,4.837348e-7,0.0002423062,0.0001025306,0.0002129392,0.000009472746,0.0022164,0.00002250454,0.000006109132,0.996648,0.0005151454],"study_design_scores_gemma":[0.0002524464,0.00002217871,0.000005034634,0.0000846332,0.0001025716,0.00001226101,0.00001516587,0.003744405,0.00002812543,0.00000299309,0.9952214,0.0005087564],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000007126381,0.000005259118,0.0000906945,0.00000395175,0.001682389,0.0001724767,0.9968865,0.0003425428,0.0008090572],"genre_scores_gemma":[0.00004418009,0.001555993,0.000168799,0.0002891516,0.001399793,0.00001339633,0.9963266,0.00007822358,0.0001238126],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2660535,"threshold_uncertainty_score":0.99978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01187236638933411,"score_gpt":0.1983620846570462,"score_spread":0.1864897182677121,"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."}}