{"id":"W4398372990","doi":"10.7910/dvn/pkjufn/ghrn3k","title":"FCC2001.171.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":[0.00005855174,0.0003761108,0.0004977851,0.0001597252,0.0000428968,0.00003585528,0.0007104264,0.0005422907,0.01103252],"category_scores_gemma":[0.00002201602,0.0003970329,0.0001171381,0.0001850901,0.00005247696,0.000116186,0.00009037011,0.0006626616,0.2859538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005239488,"about_ca_system_score_gemma":0.00002906776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001694664,"about_ca_topic_score_gemma":0.0002667994,"domain_scores_codex":[0.9986942,0.00001259008,0.0003587057,0.0003720567,0.0002000278,0.0003623623],"domain_scores_gemma":[0.9985945,0.00001927775,0.00005542647,0.001165188,0.00001603051,0.0001495921],"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":[0.00000501781,0.00001138758,0.000002586122,0.0004492765,0.000113056,0.0004021155,0.000008779865,0.00005245603,0.00003837046,0.00003685279,0.998641,0.0002390902],"study_design_scores_gemma":[0.00027072,0.00002282902,0.00001411011,0.00006984791,0.00009686831,0.0000282596,0.00001610345,0.00007022165,0.00003545744,0.000009074231,0.9989702,0.0003963615],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000009461532,0.000005008545,0.0001733332,0.000004395154,0.001384785,0.0002151605,0.9969428,0.0008399187,0.0004251534],"genre_scores_gemma":[0.0001440518,0.0005272977,0.0001596465,0.00009425332,0.0003350636,0.00003171998,0.998583,0.00005811397,0.00006685501],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2749213,"threshold_uncertainty_score":0.9998481,"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."}}