{"id":"W4398612437","doi":"10.7910/dvn/pkjufn/wdvod8","title":"FCC2002.067.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":[0.0009957763,0.003192639,0.001623677,0.003708412,0.001075107,0.003148721,0.003744358,0.00294391,0.09223093],"category_scores_gemma":[0.005630214,0.0007318035,0.001699217,0.006474777,0.0005379482,0.001771717,0.002010906,0.001692372,0.1615664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001607394,"about_ca_system_score_gemma":0.002207831,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03939227,"about_ca_topic_score_gemma":0.06301318,"domain_scores_codex":[0.998895,0.000166491,0.0001124007,0.0003183433,0.0002412592,0.0002665209],"domain_scores_gemma":[0.9978176,0.0004059785,0.0001744061,0.0006604646,0.0006413456,0.0003001973],"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":[0.00004612034,0.00001121295,0.0002523414,0.0002260664,0.00001353977,0.000009401459,0.000006685497,0.0002146032,0.00004511315,0.000211126,0.9979064,0.001057347],"study_design_scores_gemma":[0.0003805466,0.00003630911,0.003089576,0.0002696766,0.00003337301,0.00005750392,0.00008058248,0.001157989,0.0003744267,0.001621639,0.99286,0.00003827312],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008637852,0.00005161218,0.00003578739,0.00006618892,0.00003476106,0.000006263448,0.9985324,0.0004451037,0.0007413306],"genre_scores_gemma":[0.0003305706,0.00004000688,0.0001146384,0.0000462668,0.00001199745,0.0000244479,0.9988506,0.00006735351,0.0005140825],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9077691,"threshold_uncertainty_score":0.3085432,"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."}}