{"id":"W4398584572","doi":"10.7910/dvn/pkjufn/oa4hgy","title":"FCC2001.127.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":[0.001164465,0.003689063,0.001916179,0.004353992,0.001257984,0.003772228,0.003968413,0.003309944,0.1037882],"category_scores_gemma":[0.005160783,0.0009467076,0.001683566,0.007506228,0.0006257879,0.002024651,0.002367119,0.002030084,0.2088483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001870539,"about_ca_system_score_gemma":0.002435845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03676448,"about_ca_topic_score_gemma":0.05900065,"domain_scores_codex":[0.9986773,0.0002317366,0.0001368776,0.0003955448,0.0002704099,0.000288154],"domain_scores_gemma":[0.9979619,0.0003960991,0.0001602911,0.0006618805,0.0005640985,0.0002558022],"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":[0.00004296241,0.00001521623,0.000204663,0.0002808577,0.00001708586,0.00001134987,0.000009454309,0.0001859271,0.00006798481,0.0002719919,0.9980302,0.0008623888],"study_design_scores_gemma":[0.0003391955,0.0000345221,0.002342144,0.0003173038,0.00003237964,0.00006014471,0.00008076925,0.0008173104,0.000446347,0.001333187,0.9941576,0.00003899649],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007434817,0.00004795045,0.00003554838,0.00004034191,0.00003091025,0.000005394219,0.9984587,0.0005446213,0.0007620608],"genre_scores_gemma":[0.0001876763,0.00002757168,0.00009391673,0.00002948724,0.000006108181,0.00001826086,0.9991943,0.0000710825,0.0003716047],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8962118,"threshold_uncertainty_score":0.3472061,"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."}}