{"id":"W4398373460","doi":"10.7910/dvn/pkjufn/z6d10m","title":"FCC2003.039.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":[0.001510879,0.002932535,0.001720913,0.004828308,0.001138284,0.0037,0.004166881,0.002959349,0.1783986],"category_scores_gemma":[0.009908434,0.0009494192,0.001546534,0.007694763,0.0006769242,0.002238938,0.002504515,0.002013138,0.2305672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002039698,"about_ca_system_score_gemma":0.002672879,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04586263,"about_ca_topic_score_gemma":0.06784226,"domain_scores_codex":[0.9987022,0.0002677908,0.0001183039,0.0003920383,0.0002583247,0.0002612581],"domain_scores_gemma":[0.9964609,0.0008563722,0.0002652193,0.001040307,0.0009629448,0.0004142716],"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":[0.00002643697,0.000006365454,0.0001520247,0.0002000816,0.00001212522,0.000005038793,0.000007142465,0.0001166631,0.00002464248,0.0002493078,0.9985624,0.0006378386],"study_design_scores_gemma":[0.0002894558,0.00001957216,0.001718636,0.0002817709,0.00002768365,0.00003159128,0.00006569987,0.0005947488,0.0002534144,0.001835569,0.9948479,0.00003397327],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004644002,0.00004077908,0.00003335155,0.00007553799,0.0000293187,0.000004688407,0.9986662,0.0004519906,0.0006517938],"genre_scores_gemma":[0.000277908,0.00003862716,0.0001341157,0.00006512831,0.00001319709,0.00003283498,0.9985605,0.0001600178,0.0007176509],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8216014,"threshold_uncertainty_score":0.5968029,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02470819394837841,"score_gpt":0.2551113191248146,"score_spread":0.2304031251764361,"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."}}