{"id":"W4398516164","doi":"10.7910/dvn/pkjufn/reacoi","title":"FCC2002.332.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":[0.001064434,0.003415414,0.001617713,0.004384792,0.001094197,0.003336439,0.003597193,0.002927169,0.09480877],"category_scores_gemma":[0.005446905,0.0008395251,0.001542869,0.007540258,0.0005752118,0.001863824,0.00204659,0.001884784,0.1723059],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001738274,"about_ca_system_score_gemma":0.002323962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04101941,"about_ca_topic_score_gemma":0.05848682,"domain_scores_codex":[0.9988436,0.000191524,0.0001107694,0.0003518649,0.0002499943,0.0002522175],"domain_scores_gemma":[0.9977862,0.0004188219,0.0001814835,0.0007149366,0.0006143884,0.0002841988],"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":[0.00003532743,0.00001214176,0.0002340258,0.000212755,0.00001448745,0.000008621344,0.000007461927,0.0002076219,0.00004592894,0.000251473,0.9981761,0.0007939235],"study_design_scores_gemma":[0.0002941519,0.0000284935,0.002697507,0.0002724783,0.00002978127,0.00005055039,0.00008068045,0.0009791962,0.0003672007,0.00140499,0.993758,0.00003711624],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007648141,0.00004400318,0.00003194782,0.00004589666,0.00002897234,0.000004601317,0.9986766,0.0004296202,0.0006619701],"genre_scores_gemma":[0.0002558564,0.00003071842,0.00009404104,0.00003131228,0.000007647499,0.00001846824,0.9990657,0.00006826146,0.0004279826],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9051912,"threshold_uncertainty_score":0.3171669,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01030042744879746,"score_gpt":0.1905832209160307,"score_spread":0.1802827934672333,"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."}}