{"id":"W4398453169","doi":"10.7910/dvn/pkjufn/ochjpf","title":"FCC2002.237.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":[0.00136987,0.003190346,0.001787764,0.004922382,0.001160604,0.003806998,0.00414598,0.003096686,0.1574794],"category_scores_gemma":[0.007788908,0.0009457411,0.001577188,0.008291884,0.0006769748,0.002292476,0.002407603,0.00200742,0.2248255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002182296,"about_ca_system_score_gemma":0.002644917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04558326,"about_ca_topic_score_gemma":0.06756116,"domain_scores_codex":[0.9986755,0.0002744597,0.0001261326,0.0003953561,0.0002614525,0.0002670749],"domain_scores_gemma":[0.997049,0.00067038,0.0002337424,0.0008908993,0.0008115789,0.0003443128],"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":[0.00003087685,0.000008588415,0.0001486027,0.0002419707,0.00001382347,0.00000657381,0.000007911008,0.0001283135,0.00003671608,0.0002730243,0.9984105,0.0006931775],"study_design_scores_gemma":[0.0002715822,0.00002159364,0.001654544,0.0002917192,0.00002723142,0.00003551945,0.00006522152,0.000533214,0.0003017913,0.001474804,0.9952896,0.00003322851],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000500858,0.00004658281,0.00003109892,0.00006386351,0.0000271732,0.000004710358,0.9985844,0.0004413254,0.0007508373],"genre_scores_gemma":[0.0002311594,0.00003587975,0.0001086803,0.00005021965,0.000009032921,0.00002663356,0.9988286,0.0001194542,0.0005902805],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8425206,"threshold_uncertainty_score":0.5268212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02497374712490684,"score_gpt":0.2535437755552922,"score_spread":0.2285700284303854,"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."}}