{"id":"W4398640192","doi":"10.7910/dvn/pkjufn/yuupkd","title":"FCC2001.155.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":[0.00108897,0.003527665,0.001769873,0.004362268,0.001162813,0.003461668,0.003683999,0.002986733,0.1069126],"category_scores_gemma":[0.005342861,0.0008917633,0.001612032,0.006960812,0.0006058181,0.001878774,0.002261683,0.00198543,0.2055239],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001653486,"about_ca_system_score_gemma":0.002257338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0334805,"about_ca_topic_score_gemma":0.05089864,"domain_scores_codex":[0.9988003,0.0002016839,0.000116006,0.0003770673,0.0002490799,0.0002559199],"domain_scores_gemma":[0.9978332,0.0004165579,0.0001729412,0.000727078,0.0005692032,0.0002810259],"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":[0.00003843869,0.00001335919,0.00020983,0.0002192312,0.00001532207,0.000009108438,0.000007880067,0.0001806524,0.00005346067,0.0002368795,0.9982209,0.000794988],"study_design_scores_gemma":[0.00034377,0.00003288155,0.002630932,0.0002859842,0.00003250188,0.00005685216,0.00008116126,0.000905168,0.0004046079,0.001453536,0.9937337,0.00003895381],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007508102,0.00004151432,0.00003529853,0.00004336745,0.00003203295,0.000004923893,0.9985875,0.0004977231,0.0006824281],"genre_scores_gemma":[0.0002187396,0.00002772356,0.00009574681,0.00003109443,0.000007655133,0.00001903079,0.9990889,0.00007537303,0.0004358086],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8930874,"threshold_uncertainty_score":0.3576582,"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."}}