{"id":"W4398372962","doi":"10.7910/dvn/pkjufn/hmrllu","title":"FCC2001.191.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":[0.001096214,0.003602302,0.001812276,0.004251461,0.001246888,0.003782964,0.003877192,0.003266364,0.1134373],"category_scores_gemma":[0.005304931,0.0009321931,0.001624509,0.006774129,0.0006077411,0.002027809,0.002332951,0.002042432,0.2226742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001823093,"about_ca_system_score_gemma":0.002238782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03642133,"about_ca_topic_score_gemma":0.05681305,"domain_scores_codex":[0.9988195,0.0001919187,0.0001157794,0.0003735356,0.0002333402,0.0002659402],"domain_scores_gemma":[0.9979625,0.0003947733,0.0001528462,0.0006915693,0.0005332149,0.0002650696],"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":[0.00004077006,0.00001321166,0.0002017119,0.0002399663,0.00001491971,0.000009575221,0.000008763468,0.0001641446,0.00005361373,0.000270734,0.9981494,0.0008331891],"study_design_scores_gemma":[0.0003113598,0.00002995024,0.002240333,0.0002918273,0.0000275579,0.00005175585,0.00007791755,0.0007449929,0.0003792507,0.001371513,0.9944372,0.00003638337],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006815338,0.00004323944,0.00003458688,0.00004282908,0.0000342245,0.000004909435,0.9984223,0.0005612751,0.0007885205],"genre_scores_gemma":[0.0002106604,0.00002774907,0.00009794677,0.00003331044,0.000007235381,0.00001854412,0.9990729,0.00008409514,0.0004476079],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8865627,"threshold_uncertainty_score":0.3794857,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01064126748982791,"score_gpt":0.194300286794454,"score_spread":0.1836590193046261,"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."}}