{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00005847441,0.0003759862,0.0004975468,0.0001597126,0.00004286947,0.0000360708,0.0007099893,0.0005415983,0.01086399],"category_scores_gemma":[0.00002171388,0.0003969024,0.0001171067,0.0001850499,0.00005217917,0.0001168104,0.00009029403,0.0006613559,0.2812244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005226761,"about_ca_system_score_gemma":0.00002903686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001697471,"about_ca_topic_score_gemma":0.00026102,"domain_scores_codex":[0.9986948,0.00001252538,0.0003585876,0.0003718687,0.000199983,0.0003621733],"domain_scores_gemma":[0.9986087,0.0000192455,0.00005541236,0.001151165,0.00001602696,0.0001494567],"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":[0.000004904502,0.00001138593,0.000002527985,0.0004491233,0.0001130079,0.0004019625,0.000008754171,0.0000524538,0.00004001479,0.00003683833,0.998648,0.0002309758],"study_design_scores_gemma":[0.0002716093,0.00002259381,0.0000136628,0.00006978416,0.00009684783,0.00002798545,0.00001603299,0.00006899443,0.00003713319,0.000009092153,0.9989701,0.0003961809],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000009579122,0.000005021528,0.0001706607,0.000004449636,0.001383207,0.0002124043,0.9969472,0.0008483081,0.0004191479],"genre_scores_gemma":[0.0001418892,0.0005320638,0.0001577709,0.0000954261,0.0003345033,0.00003169213,0.9985821,0.00005806664,0.00006648459],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2703604,"threshold_uncertainty_score":0.9998483,"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."}}