{"id":"W4398426089","doi":"10.7910/dvn/pkjufn/pn7azf","title":"FCC2001.106.ran","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Transport Systems and Technology","field":"Engineering","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":[0.001181809,0.003721666,0.001883879,0.004349463,0.00130536,0.003702845,0.00405985,0.003338512,0.09584381],"category_scores_gemma":[0.005568005,0.0009283659,0.00168538,0.007330221,0.0006355461,0.002096313,0.002335072,0.002147821,0.1964716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001868309,"about_ca_system_score_gemma":0.002366112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03676753,"about_ca_topic_score_gemma":0.05955235,"domain_scores_codex":[0.9986473,0.0002330892,0.000136915,0.0004119417,0.0002834038,0.0002873043],"domain_scores_gemma":[0.9978265,0.0004111216,0.0001654376,0.0007379488,0.0005934512,0.000265444],"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":[0.00004079243,0.0000153355,0.0002135624,0.000246766,0.00001683503,0.00001078536,0.000008846313,0.0001907142,0.00005863448,0.0002661561,0.9980943,0.0008374084],"study_design_scores_gemma":[0.0003284688,0.0000339152,0.00251322,0.0003020513,0.0000330542,0.00006264036,0.00008230732,0.0009277279,0.000433319,0.001427179,0.9938164,0.00003968955],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008389162,0.00005098815,0.00003865709,0.00004772544,0.00003568241,0.000005729961,0.9983816,0.0005673744,0.0007882275],"genre_scores_gemma":[0.0002093876,0.00002755837,0.0000990831,0.0000306578,0.000006924887,0.00001859709,0.9991444,0.0000707579,0.0003925867],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9041562,"threshold_uncertainty_score":0.3206295,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01025367296363981,"score_gpt":0.1920166945363988,"score_spread":0.181763021572759,"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."}}