{"id":"W4398493710","doi":"10.7910/dvn/pkjufn/5zc4ls","title":"FCC2002.093.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":[0.00006124356,0.0004412022,0.0004782879,0.00006247416,0.00006096125,0.0001107046,0.0006612499,0.0003592702,0.01495864],"category_scores_gemma":[0.0000477252,0.0004648464,0.0001380244,0.0001351225,0.00004498463,0.0001639839,0.0001966927,0.0007318084,0.2815151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006896938,"about_ca_system_score_gemma":0.00002150748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005148083,"about_ca_topic_score_gemma":0.00007384476,"domain_scores_codex":[0.998474,0.00002744657,0.0003259489,0.0003911116,0.0003427647,0.0004387514],"domain_scores_gemma":[0.9985543,0.00005000949,0.00005759508,0.001066138,0.0000194407,0.0002524639],"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":[0.00001051754,0.00001334941,4.692844e-7,0.0002424404,0.0001026898,0.000212894,0.00001065074,0.002486964,0.00002180405,0.000005389623,0.9964193,0.0004735267],"study_design_scores_gemma":[0.0002543626,0.00002237138,0.000004719919,0.00008438428,0.0001027884,0.00001231503,0.00001528795,0.003856262,0.00002828687,0.000003298913,0.9951081,0.0005078281],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000006036016,0.00000549455,0.00009254392,0.000003724383,0.001670727,0.0001720286,0.9968767,0.0003424945,0.0008302528],"genre_scores_gemma":[0.00004454427,0.001556452,0.0001731575,0.0002854056,0.001391484,0.00001338711,0.9963233,0.00007823361,0.0001339898],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2665565,"threshold_uncertainty_score":0.9997803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01186855000602602,"score_gpt":0.1982685848667247,"score_spread":0.1864000348606986,"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."}}