{"id":"W4398389255","doi":"10.7910/dvn/pkjufn/3z2a8q","title":"FCC2003.332.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":[0.001072174,0.003414904,0.001683197,0.004265605,0.001126671,0.003469,0.003737275,0.002959729,0.09966257],"category_scores_gemma":[0.005366296,0.0008675696,0.001596605,0.007499808,0.0005851475,0.001899738,0.002111173,0.001924248,0.1819883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001786683,"about_ca_system_score_gemma":0.002311533,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04092897,"about_ca_topic_score_gemma":0.05947304,"domain_scores_codex":[0.9988439,0.0001907564,0.0001144814,0.0003540428,0.0002416212,0.0002552187],"domain_scores_gemma":[0.9978502,0.0004093316,0.0001737898,0.0007037439,0.0005938554,0.0002691326],"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":[0.0000371293,0.00001218866,0.0002243708,0.0002263177,0.00001504779,0.000008674127,0.000007816508,0.0002024294,0.00004808482,0.0002621193,0.9981678,0.0007878746],"study_design_scores_gemma":[0.0003058512,0.00002787412,0.002547594,0.0002728713,0.0000298772,0.00004946862,0.00007931054,0.0009446791,0.0003708116,0.001429867,0.9939049,0.00003698889],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006942204,0.00004179394,0.00003146525,0.00004327458,0.00002807192,0.000004444822,0.9986857,0.0004397258,0.0006562494],"genre_scores_gemma":[0.0002448714,0.000029937,0.0000938776,0.00003148905,0.000007414579,0.00001815198,0.999082,0.00007098022,0.0004213854],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9003375,"threshold_uncertainty_score":0.3334045,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01068429521764004,"score_gpt":0.1944484526023185,"score_spread":0.1837641573846785,"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."}}