{"id":"W4398654129","doi":"10.7910/dvn/pkjufn/fh2ahk","title":"FCC2001.190.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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00005805339,0.0003757764,0.0004964712,0.0001595819,0.00004271925,0.00003608286,0.0007015173,0.0005414301,0.01096989],"category_scores_gemma":[0.00002127764,0.000396735,0.0001172616,0.0001848114,0.00005214435,0.0001167003,0.00009039423,0.0006604564,0.285295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000525647,"about_ca_system_score_gemma":0.00002892041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001700987,"about_ca_topic_score_gemma":0.0002590135,"domain_scores_codex":[0.9986957,0.00001251829,0.0003587019,0.0003714973,0.0001998112,0.0003618025],"domain_scores_gemma":[0.998615,0.00001888345,0.00005535665,0.001145289,0.00001614682,0.0001493656],"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":[0.000005108747,0.00001168588,0.00000234016,0.0004497483,0.0001113942,0.0004055565,0.000008907206,0.00005330883,0.00003906621,0.0000355577,0.9986324,0.0002448739],"study_design_scores_gemma":[0.0002711042,0.000023337,0.00001224365,0.00007128881,0.00009679653,0.00002856132,0.00001634093,0.00006939001,0.00003718083,0.000008865755,0.9989688,0.0003960547],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000009226871,0.000005205414,0.0001740862,0.000004419726,0.001362759,0.0002128801,0.9969659,0.0008390762,0.0004264606],"genre_scores_gemma":[0.0001397635,0.0005221897,0.0001616988,0.00009589286,0.0003349874,0.00003174373,0.9985908,0.00005803774,0.00006486728],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2743251,"threshold_uncertainty_score":0.9998484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01027806019737193,"score_gpt":0.1922912661093988,"score_spread":0.1820132059120268,"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."}}