{"id":"W4398636444","doi":"10.7910/dvn/pkjufn/2nhcd4","title":"FCC2001.268.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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000438704,0.0009916553,0.001029827,0.0004246238,0.0002013329,0.000302178,0.002693013,0.0006508281,0.2296044],"category_scores_gemma":[0.001221605,0.001056148,0.0003403214,0.0007243871,0.0002713835,0.0006211203,0.001666825,0.001477618,0.9958149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003233299,"about_ca_system_score_gemma":0.0004398534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008730461,"about_ca_topic_score_gemma":0.0004773678,"domain_scores_codex":[0.9952632,0.0002863713,0.0007356965,0.001514427,0.001219548,0.0009807236],"domain_scores_gemma":[0.9943268,0.0001507393,0.0005452127,0.004090651,0.0001232315,0.0007634084],"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":[0.0001991979,0.0001515316,0.000002209676,0.000250976,0.0002648917,0.001022099,0.00002474567,0.00000615354,0.00007944071,0.00002000439,0.9979036,0.00007511798],"study_design_scores_gemma":[0.001077004,0.00008291085,0.00001763753,0.0001316088,0.000609956,0.0000647975,0.00005737474,0.00001804721,0.0000317438,0.00001524751,0.9967925,0.001101158],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000002064987,8.077676e-7,0.000008865039,0.000007423566,0.001289381,0.0006380574,0.9966866,0.0005374275,0.0008293476],"genre_scores_gemma":[0.000001615947,0.0002255786,0.0003809264,0.001427194,0.001339366,0.00006076456,0.9958579,0.0002727181,0.0004339515],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7662105,"threshold_uncertainty_score":0.9991889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02489124798400566,"score_gpt":0.2557219760424267,"score_spread":0.2308307280584211,"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."}}