{"id":"W4398298458","doi":"10.7910/dvn/pkjufn/2jwv8z","title":"FCC2001.345.ran","year":2020,"lang":"ka","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":[0.0002045371,0.001201659,0.00127176,0.0002247159,0.0002401545,0.0003862866,0.001619294,0.0009555146,0.06707224],"category_scores_gemma":[0.0001721251,0.001333527,0.0004171963,0.0005031396,0.0001574743,0.0004851336,0.0007631691,0.001949048,0.7408812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002151279,"about_ca_system_score_gemma":0.000111111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003184977,"about_ca_topic_score_gemma":0.0001200092,"domain_scores_codex":[0.9957492,0.0001309719,0.0009605993,0.001203006,0.0007043272,0.001251937],"domain_scores_gemma":[0.996197,0.0001807579,0.0002525387,0.002474402,0.0000772963,0.0008180244],"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":[0.00008404245,0.00008956552,0.000003910588,0.000776331,0.0004526162,0.001007022,0.0001001785,0.007128712,0.000122006,0.00008557752,0.9889706,0.001179443],"study_design_scores_gemma":[0.0009701382,0.0001114178,0.00002214386,0.00043925,0.0004733415,0.00004689845,0.0001520137,0.01686027,0.00005353403,0.00000806458,0.9794794,0.001383503],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005173197,0.00002200881,0.0003767957,0.00002965473,0.004169481,0.0005303438,0.9925765,0.0004192907,0.001824145],"genre_scores_gemma":[0.0005660662,0.006725306,0.0005803636,0.0008775333,0.004688292,0.00002536546,0.9857767,0.0002354372,0.0005250017],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.673809,"threshold_uncertainty_score":0.9989114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01392952033740816,"score_gpt":0.2085186921405829,"score_spread":0.1945891718031747,"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."}}