{"id":"W4398270937","doi":"10.7910/dvn/pkjufn/hbiyip","title":"FCC2001.141.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":[0.001141087,0.003703361,0.001875487,0.004476575,0.001249529,0.003817523,0.00384062,0.003249247,0.1020626],"category_scores_gemma":[0.005544948,0.0009116603,0.001680218,0.00715619,0.0006229553,0.001991662,0.002353303,0.002051672,0.2047977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001837268,"about_ca_system_score_gemma":0.002533787,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03708915,"about_ca_topic_score_gemma":0.05836809,"domain_scores_codex":[0.9987018,0.0002212923,0.0001279963,0.0004054128,0.0002667976,0.0002766697],"domain_scores_gemma":[0.9978218,0.0004261694,0.0001716348,0.0007115767,0.0005919077,0.0002769085],"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":[0.00003931164,0.00001423375,0.0002107967,0.0002621245,0.0000159718,0.00001040051,0.000009173137,0.0001767266,0.00006033239,0.0002684148,0.9980875,0.000844918],"study_design_scores_gemma":[0.0003242508,0.0000323426,0.002403555,0.0003220016,0.00003183878,0.00005800455,0.00008135421,0.0007963533,0.0004048766,0.001352702,0.9941545,0.00003829807],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007255745,0.00004845737,0.0000356637,0.00004275745,0.00003221035,0.000005233391,0.99852,0.0005163542,0.0007267477],"genre_scores_gemma":[0.000188193,0.00002924309,0.00009865195,0.00003258586,0.000006561307,0.00001921151,0.9991456,0.00007680421,0.0004031753],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8979374,"threshold_uncertainty_score":0.3414335,"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."}}