{"id":"W4398511955","doi":"10.7910/dvn/pkjufn/ymuvyp","title":"FCC2001.258.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":[0.00139985,0.003191677,0.001809847,0.004969479,0.001169772,0.003819778,0.004136635,0.003127028,0.1711376],"category_scores_gemma":[0.008397676,0.0009715214,0.001567352,0.008235822,0.0006792318,0.002319949,0.002533814,0.002042757,0.2459106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002125556,"about_ca_system_score_gemma":0.002685933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04478114,"about_ca_topic_score_gemma":0.06574533,"domain_scores_codex":[0.9986634,0.0002794337,0.0001247534,0.0004021515,0.000264276,0.0002658859],"domain_scores_gemma":[0.9967911,0.0007611228,0.0002484738,0.0009488853,0.0008700721,0.0003804384],"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":[0.0000279398,0.000007838634,0.0001376967,0.000226043,0.00001253044,0.000005824628,0.00000790388,0.0001161914,0.00003172788,0.000248157,0.9985247,0.0006534623],"study_design_scores_gemma":[0.0002716928,0.00002174582,0.001611708,0.000301604,0.00002712091,0.0000337834,0.00006770571,0.0005357646,0.0002727325,0.001532427,0.9952904,0.00003334046],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004747828,0.00004506561,0.00003142878,0.00006850989,0.00002798436,0.000004712566,0.9986029,0.0004513092,0.000720593],"genre_scores_gemma":[0.0002210449,0.00003575853,0.000107631,0.00005392887,0.000009754893,0.00002751508,0.998785,0.0001295431,0.0006298719],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8288624,"threshold_uncertainty_score":0.5725124,"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."}}