{"id":"W4398321581","doi":"10.7910/dvn/pkjufn/ygfhed","title":"FCC2001.205.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":[0.00005742201,0.0003754025,0.0004947955,0.0001622837,0.00004280196,0.00003575205,0.0007094606,0.0005530316,0.01407567],"category_scores_gemma":[0.0000214615,0.0003963483,0.0001170456,0.0001858536,0.00005211566,0.000115645,0.0000886053,0.000673707,0.2455184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005087479,"about_ca_system_score_gemma":0.00002739904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002164798,"about_ca_topic_score_gemma":0.0003442893,"domain_scores_codex":[0.9986976,0.0000125459,0.0003577528,0.0003711962,0.0001993177,0.0003615993],"domain_scores_gemma":[0.9986115,0.00001915876,0.00005524296,0.001148812,0.0000159046,0.0001493727],"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":[0.000005008165,0.00001143596,0.000002427737,0.0004491853,0.0001158322,0.0004068516,0.000008586277,0.00005476805,0.00003782156,0.00003770678,0.998641,0.0002293922],"study_design_scores_gemma":[0.00027298,0.00002262256,0.00001273582,0.00007212627,0.00009833842,0.00002831535,0.00001663782,0.00006927913,0.00003393806,0.000009079565,0.9989687,0.000395245],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000008882169,0.000005081678,0.0001673012,0.000004428784,0.001386361,0.0002122346,0.9968988,0.0008782857,0.0004386176],"genre_scores_gemma":[0.0001416365,0.0005586766,0.0001539484,0.00009510955,0.0003334259,0.00003171006,0.9985597,0.00005970268,0.00006612989],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2314428,"threshold_uncertainty_score":0.9998488,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01030684547505231,"score_gpt":0.1924909262951885,"score_spread":0.1821840808201362,"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."}}