{"id":"W4398426089","doi":"10.7910/dvn/pkjufn/pn7azf","title":"FCC2001.106.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":[0.00005787798,0.0003758322,0.000497253,0.0001596613,0.0000428159,0.00003582621,0.0007104503,0.0005413983,0.01130056],"category_scores_gemma":[0.00002184037,0.0003967843,0.0001170711,0.0001851414,0.00005224723,0.0001160846,0.00009033047,0.0006630322,0.2908341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005229277,"about_ca_system_score_gemma":0.00002895769,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001724242,"about_ca_topic_score_gemma":0.0002595449,"domain_scores_codex":[0.9986954,0.00001254996,0.00035853,0.0003716997,0.0001998124,0.0003620487],"domain_scores_gemma":[0.9986083,0.00001928582,0.00005541396,0.001151566,0.00001601712,0.0001494483],"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":[0.000005018524,0.00001138188,0.000002486942,0.000443422,0.0001129699,0.0004005568,0.000008561069,0.00005230569,0.00003720449,0.00003644886,0.998648,0.0002416774],"study_design_scores_gemma":[0.000269332,0.0000223846,0.0000138806,0.00006969418,0.00009674732,0.00002823116,0.00001541487,0.00006923096,0.00003572807,0.000009074593,0.9989741,0.0003961383],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000008962976,0.00000503517,0.0001704056,0.000004363575,0.001359129,0.0002124911,0.9969532,0.0008481746,0.0004381805],"genre_scores_gemma":[0.0001344724,0.0005288264,0.0001583447,0.00009280528,0.0003347207,0.00003136195,0.9985923,0.00005809088,0.00006913686],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2795336,"threshold_uncertainty_score":0.9998484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01025367296363981,"score_gpt":0.1920166945363988,"score_spread":0.181763021572759,"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."}}