{"id":"W4398609472","doi":"10.7910/dvn/pkjufn/6bxtav","title":"FCC2001.153.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":[0.001054522,0.003628456,0.001767747,0.004378885,0.001173384,0.003514932,0.00367843,0.003088947,0.1044453],"category_scores_gemma":[0.005327198,0.0009061443,0.001639771,0.007080812,0.0006083652,0.001928364,0.002279592,0.002026942,0.2008575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001752024,"about_ca_system_score_gemma":0.002323521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03645282,"about_ca_topic_score_gemma":0.05581466,"domain_scores_codex":[0.9987876,0.0002024657,0.0001180002,0.0003778868,0.0002542935,0.0002598228],"domain_scores_gemma":[0.9978369,0.0004234126,0.000170443,0.0007163253,0.000579543,0.0002733842],"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":[0.00003792704,0.00001355329,0.0002154921,0.000231841,0.00001530777,0.000009474798,0.000008272441,0.0001867883,0.00005412019,0.0002480861,0.9981654,0.0008137322],"study_design_scores_gemma":[0.0003185779,0.00003137002,0.002551797,0.0002912123,0.00003115955,0.00005576712,0.00008152174,0.000883799,0.0004025236,0.00140756,0.9939063,0.00003843293],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007468752,0.00004372902,0.00003539119,0.00004365452,0.00003210773,0.000004962626,0.9985437,0.0005097016,0.0007120569],"genre_scores_gemma":[0.0002176281,0.00002863909,0.00009630177,0.00003158657,0.000007144268,0.00001853361,0.9990956,0.00007696871,0.0004275367],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8955547,"threshold_uncertainty_score":0.3494045,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01028644552546442,"score_gpt":0.1922603851564491,"score_spread":0.1819739396309847,"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."}}