{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009540683,0.003323657,0.001548162,0.004182689,0.001103876,0.003340168,0.003973879,0.002939735,0.106142],"category_scores_gemma":[0.005712176,0.0008314058,0.001660334,0.007155739,0.0005386776,0.001963205,0.002061191,0.001803759,0.2042106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001574773,"about_ca_system_score_gemma":0.002091621,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03130381,"about_ca_topic_score_gemma":0.04649967,"domain_scores_codex":[0.9988108,0.0001614238,0.0001374244,0.0003412145,0.0002589403,0.0002902407],"domain_scores_gemma":[0.9973413,0.0004665652,0.0002293417,0.000844203,0.0007704772,0.0003481312],"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":[0.00005372621,0.00001230838,0.0002470154,0.0002467694,0.00001301173,0.000009553178,0.000006855744,0.0001933283,0.0000532991,0.0002232164,0.9978861,0.001054641],"study_design_scores_gemma":[0.0003626267,0.00003851698,0.003149745,0.0002543307,0.00002890194,0.0000596454,0.00007305942,0.0009656728,0.0003893722,0.001449239,0.9931905,0.00003836334],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008279345,0.000041916,0.00003571425,0.00004884017,0.00002869466,0.000005693396,0.9983656,0.0005948882,0.0007958627],"genre_scores_gemma":[0.0003198232,0.00003395984,0.00009816695,0.00003761321,0.000009328693,0.00002212841,0.998941,0.00008525607,0.0004527059],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.893858,"threshold_uncertainty_score":0.3550804,"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."}}