{"id":"W4398754295","doi":"10.7910/dvn/pkjufn/hdcyo5","title":"FCC2003.128.ran","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"","field":"","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":[0.001412741,0.003270935,0.001876233,0.00475362,0.001179289,0.003912424,0.004262661,0.003219305,0.1700003],"category_scores_gemma":[0.007665852,0.0009854969,0.001685481,0.008481766,0.0006806964,0.002337543,0.00251006,0.002041068,0.2518071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002082491,"about_ca_system_score_gemma":0.002675832,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04405821,"about_ca_topic_score_gemma":0.0683953,"domain_scores_codex":[0.9986712,0.0002738835,0.0001314152,0.0003915412,0.0002595439,0.0002724231],"domain_scores_gemma":[0.997156,0.0006344486,0.0002131457,0.0008758689,0.0007928899,0.000327634],"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":[0.0000297363,0.000008808544,0.0001383253,0.0002552333,0.00001369976,0.000006686543,0.000008005294,0.0001155786,0.00003901709,0.0002389425,0.998471,0.0006749422],"study_design_scores_gemma":[0.0002948804,0.00002383115,0.001568963,0.0003008803,0.00002886604,0.00004019833,0.00006652317,0.0005297379,0.0003183349,0.00141622,0.9953777,0.00003381118],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005044579,0.00004810941,0.00003262363,0.00006123124,0.00002834555,0.000005079843,0.9985393,0.0005050118,0.0007297847],"genre_scores_gemma":[0.0002084892,0.00003543601,0.0001121711,0.00005010205,0.000008833121,0.00002664384,0.9988475,0.000129848,0.0005809369],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8299997,"threshold_uncertainty_score":0.5687076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02472083744161424,"score_gpt":0.2551105986326867,"score_spread":0.2303897611910725,"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."}}