{"id":"W4398696465","doi":"10.7910/dvn/pkjufn/zxya9d","title":"FCC2002.249.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":[0.00005802906,0.0003696538,0.0004872145,0.0001019846,0.00004196832,0.0000355577,0.0007001208,0.0005264326,0.01007238],"category_scores_gemma":[0.00002454551,0.0003897561,0.0001156112,0.0001708599,0.00005031816,0.0001127016,0.00009003521,0.0006498872,0.2391626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005146924,"about_ca_system_score_gemma":0.0000220903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001086401,"about_ca_topic_score_gemma":0.0002504416,"domain_scores_codex":[0.9986776,0.00001220153,0.0003529658,0.000364041,0.0002442137,0.0003489624],"domain_scores_gemma":[0.9986323,0.00001985332,0.00005436768,0.001135221,0.00001373365,0.0001445516],"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":[0.000005105197,0.00001120909,0.000002702779,0.0004497932,0.0001106454,0.0003819996,0.000008782994,0.00004380817,0.00003870475,0.00003088194,0.998593,0.0003233097],"study_design_scores_gemma":[0.000257344,0.00002283711,0.0000133637,0.00006890091,0.0000960094,0.00002613591,0.00001625285,0.00007308608,0.00004429683,0.000006906924,0.9989854,0.0003894935],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000009265627,0.000004568263,0.0001794662,0.000004005855,0.001326011,0.0002052433,0.9970685,0.0007824349,0.0004205633],"genre_scores_gemma":[0.0001736399,0.000427676,0.0001603303,0.00008880442,0.0003184757,0.00003180479,0.9986709,0.00005723738,0.00007113564],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2290902,"threshold_uncertainty_score":0.9998555,"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."}}