{"id":"W4398384367","doi":"10.7910/dvn/pkjufn/qgfoug","title":"FCC2002.153.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":[0.001055899,0.00358658,0.001736287,0.004272527,0.001177747,0.003486037,0.003680026,0.00305514,0.1005261],"category_scores_gemma":[0.005140065,0.000880519,0.001650278,0.006833747,0.0006078494,0.001911886,0.002201693,0.002013305,0.1962231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001726239,"about_ca_system_score_gemma":0.002295066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03645888,"about_ca_topic_score_gemma":0.05581421,"domain_scores_codex":[0.9988054,0.0001994955,0.0001155875,0.0003733713,0.0002504355,0.0002557258],"domain_scores_gemma":[0.9979267,0.0003927252,0.0001608094,0.0006999865,0.0005579936,0.0002616557],"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":[0.00003945438,0.00001429889,0.0002188966,0.0002268519,0.00001570191,0.000009712295,0.000008166133,0.000188976,0.00005714278,0.000251939,0.9981451,0.0008237037],"study_design_scores_gemma":[0.0003237127,0.00003207107,0.002592506,0.0002779749,0.00003166954,0.0000565636,0.00008198723,0.0008999874,0.0004219983,0.001390551,0.9938525,0.0000385018],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007945105,0.00004329288,0.00003661657,0.00004338372,0.00003306098,0.000005144003,0.998505,0.0005203339,0.000733702],"genre_scores_gemma":[0.0002248004,0.00002752142,0.00009869559,0.00003086886,0.000007183397,0.00001856725,0.9990854,0.00007587914,0.0004310098],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8994738,"threshold_uncertainty_score":0.3362935,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01030042744879746,"score_gpt":0.1905832209160307,"score_spread":0.1802827934672333,"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."}}