{"id":"W4398636197","doi":"10.7910/dvn/pkjufn/ahi23j","title":"FCC2001.333.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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009399291,0.003159204,0.001601403,0.003689034,0.001046121,0.003187907,0.003702712,0.002796005,0.09114198],"category_scores_gemma":[0.005178524,0.0007308302,0.001629809,0.006938549,0.0005116948,0.001759191,0.001939146,0.001725135,0.1623708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001711069,"about_ca_system_score_gemma":0.002116468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04107039,"about_ca_topic_score_gemma":0.06459541,"domain_scores_codex":[0.9988948,0.0001626796,0.0001212098,0.0003138113,0.0002371871,0.0002703742],"domain_scores_gemma":[0.9978719,0.0004073285,0.0001835153,0.0006279394,0.0006296014,0.0002797255],"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":[0.00004734607,0.00001141748,0.0002578187,0.0002415323,0.0000138464,0.00001014198,0.000006407966,0.0002142183,0.00004463222,0.0002387607,0.997852,0.00106196],"study_design_scores_gemma":[0.0003193303,0.00003179911,0.002960593,0.0002685412,0.00002915678,0.00005806873,0.00006802818,0.0009455296,0.0003442367,0.001379845,0.9935609,0.0000340378],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007991029,0.00004941432,0.00003431688,0.00005331729,0.00002980908,0.00000527888,0.9985189,0.0004171635,0.0008119498],"genre_scores_gemma":[0.0002909524,0.00003711218,0.00009784045,0.00003987431,0.000008805102,0.00001966661,0.9989682,0.00006170732,0.0004757591],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.908858,"threshold_uncertainty_score":0.3049003,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01184558204832753,"score_gpt":0.1998632451143943,"score_spread":0.1880176630660668,"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."}}