{"id":"W4398747323","doi":"10.7910/dvn/pkjufn/qm9yyq","title":"FCC2001.324.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":[0.00005858056,0.0003761245,0.000497769,0.000160181,0.000042273,0.00003524078,0.0007102484,0.0005423139,0.01049637],"category_scores_gemma":[0.00002209379,0.0003970301,0.0001171469,0.0001855999,0.00005147729,0.0001161692,0.00009040048,0.0006627694,0.2797016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005239281,"about_ca_system_score_gemma":0.00002907395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001695571,"about_ca_topic_score_gemma":0.0002613142,"domain_scores_codex":[0.9986941,0.0000125821,0.0003587382,0.0003720708,0.0002001856,0.0003623231],"domain_scores_gemma":[0.9986069,0.00001956917,0.00005543158,0.001152482,0.0000160334,0.0001495864],"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":[0.000005043819,0.00001138181,0.000002685834,0.0004531644,0.0001130478,0.0004020274,0.000008771185,0.00005252426,0.00003704496,0.00003733002,0.9986529,0.0002240916],"study_design_scores_gemma":[0.0002672321,0.00002256057,0.0000138124,0.00007188496,0.00009685304,0.00002828215,0.00001607893,0.00007032461,0.00003524162,0.000009149681,0.9989722,0.0003963379],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000009524239,0.00000514081,0.0001731361,0.000004402458,0.001383733,0.000213248,0.9969262,0.0008744447,0.0004101963],"genre_scores_gemma":[0.0001370633,0.0005529391,0.0001590616,0.00009403821,0.0003346115,0.00003181905,0.9985664,0.00005936456,0.00006474218],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2692052,"threshold_uncertainty_score":0.9998482,"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."}}