{"id":"W4398408724","doi":"10.7910/dvn/pkjufn/fsznac","title":"FCC2001.321.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":[0.001149924,0.003554701,0.001736702,0.004462796,0.001179276,0.00332843,0.003846503,0.003093692,0.1011755],"category_scores_gemma":[0.005703183,0.0008953682,0.001599639,0.006940528,0.0006272974,0.001878417,0.002306866,0.001979563,0.1891656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001755141,"about_ca_system_score_gemma":0.00232018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03584532,"about_ca_topic_score_gemma":0.05412607,"domain_scores_codex":[0.9987441,0.0002185964,0.0001190149,0.0003948444,0.0002624553,0.000260918],"domain_scores_gemma":[0.9976807,0.0004595996,0.0001872795,0.0007797144,0.0005961079,0.0002965658],"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":[0.00003835223,0.00001353702,0.0002230533,0.000236209,0.00001538685,0.000009239062,0.000008315184,0.0001923058,0.00005169269,0.0002502006,0.9981197,0.0008419405],"study_design_scores_gemma":[0.0003207231,0.00003222286,0.002666707,0.0002968627,0.00003181722,0.0000567569,0.00008196042,0.0009633171,0.0003998526,0.001469858,0.9936404,0.00003958308],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007883073,0.00004361392,0.00003769491,0.00004606469,0.0000307895,0.000005302551,0.9985698,0.0005012705,0.0006865304],"genre_scores_gemma":[0.0002319688,0.00002796428,0.0001018923,0.00003275157,0.000007226844,0.00002089227,0.9990786,0.0000717823,0.0004268022],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8988245,"threshold_uncertainty_score":0.3384658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01030057584159353,"score_gpt":0.1924010374328088,"score_spread":0.1821004615912153,"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."}}