{"id":"W4398260992","doi":"10.7910/dvn/pkjufn/kte5gh","title":"FCC2001.175.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":[0.00005778186,0.0003750795,0.0004937277,0.0001623673,0.00004272076,0.00003570547,0.0007082559,0.0005536005,0.01121349],"category_scores_gemma":[0.00002169596,0.0003961732,0.0001167334,0.0001872602,0.00005192038,0.0001151658,0.00008832364,0.0006731915,0.2759364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000504525,"about_ca_system_score_gemma":0.00002863447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001249555,"about_ca_topic_score_gemma":0.0002627273,"domain_scores_codex":[0.9986998,0.0000127287,0.0003575017,0.0003700962,0.000199101,0.0003607441],"domain_scores_gemma":[0.9986143,0.00001934001,0.00005534717,0.00114634,0.0000158501,0.000148869],"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":[0.00000493042,0.00001139992,0.000002466653,0.0004434466,0.0001157856,0.0004043723,0.000008699157,0.00005220474,0.00003680313,0.00002718474,0.9986445,0.0002482647],"study_design_scores_gemma":[0.0002726414,0.00002266431,0.0000157084,0.00007011134,0.00009920037,0.00002815529,0.00001662818,0.00007052257,0.00003538701,0.000008478261,0.9989651,0.0003954002],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000006221011,0.000005340238,0.0002183406,0.000004657878,0.001376735,0.0002114408,0.9968936,0.0008360037,0.0004476786],"genre_scores_gemma":[0.00008758106,0.0006157659,0.0001875754,0.00009843701,0.0003320728,0.00003167976,0.9985233,0.00005803042,0.00006557482],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2647229,"threshold_uncertainty_score":0.999849,"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."}}