{"id":"W4398534364","doi":"10.7910/dvn/pkjufn/fpg7rq","title":"FCC2001.282.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":[0.001428426,0.003140605,0.001753228,0.004916227,0.001202985,0.003813863,0.004205524,0.003156512,0.1608963],"category_scores_gemma":[0.008669353,0.000961392,0.001619773,0.007966444,0.0006739516,0.002296244,0.00241514,0.0020299,0.2238115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00216811,"about_ca_system_score_gemma":0.002652188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04808652,"about_ca_topic_score_gemma":0.07222042,"domain_scores_codex":[0.9987013,0.000272561,0.0001179952,0.0003968906,0.0002545881,0.0002566825],"domain_scores_gemma":[0.9968586,0.0007743528,0.000232655,0.0009216501,0.0008560129,0.0003567871],"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":[0.00002790205,0.000007654287,0.0001481839,0.0002387328,0.00001339036,0.000005817114,0.000008292914,0.0001281001,0.00003207818,0.000274953,0.9984376,0.0006772818],"study_design_scores_gemma":[0.0002649716,0.00002074834,0.001610778,0.0002994372,0.00002836706,0.00003388455,0.00006831167,0.0005946039,0.000277788,0.001700372,0.9950663,0.00003439696],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005158288,0.00005063263,0.0000357045,0.00007540066,0.00002996367,0.000004900997,0.9984987,0.0005098917,0.0007432371],"genre_scores_gemma":[0.0002559269,0.00003977185,0.0001307795,0.00006044592,0.00001067854,0.00002898545,0.9986703,0.000148862,0.0006540965],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8391037,"threshold_uncertainty_score":0.5382518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02483664728439038,"score_gpt":0.2556966110596042,"score_spread":0.2308599637752138,"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."}}