{"id":"W4398378211","doi":"10.7910/dvn/pkjufn/fsayc2","title":"FCC2001.129.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":[0.00005841207,0.000375785,0.0004976724,0.0001595694,0.00004136724,0.00003661159,0.0007094996,0.0005420987,0.01096265],"category_scores_gemma":[0.00002176967,0.0003967241,0.0001170527,0.0001848836,0.00005218443,0.0001158572,0.00009011225,0.0006636214,0.2954236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005233557,"about_ca_system_score_gemma":0.00002899264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000165353,"about_ca_topic_score_gemma":0.0002555911,"domain_scores_codex":[0.998696,0.00001255162,0.0003581937,0.0003714831,0.0001998381,0.000361901],"domain_scores_gemma":[0.9986095,0.00001925184,0.00005537378,0.001150465,0.00001601239,0.0001493972],"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":[0.000005023953,0.00001137272,0.000002716188,0.0004483298,0.000113158,0.0003977756,0.000008689508,0.00005149967,0.00004169259,0.00003811749,0.9986662,0.00021538],"study_design_scores_gemma":[0.0002703486,0.00002257073,0.00001427584,0.00006964789,0.00009699935,0.00002794319,0.00001604308,0.00006880132,0.00003902421,0.000009244435,0.9989691,0.0003960107],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000009951452,0.000004988798,0.0001710871,0.000004444892,0.00138098,0.0002120675,0.9969512,0.0008394698,0.0004258633],"genre_scores_gemma":[0.000146283,0.0005192378,0.0001582932,0.00009407978,0.0003344797,0.00002944256,0.998593,0.00005799331,0.00006722078],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.284461,"threshold_uncertainty_score":0.9998485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01027701213421971,"score_gpt":0.192981312994611,"score_spread":0.1827043008603913,"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."}}