{"id":"W4398679275","doi":"10.7910/dvn/pkjufn/cr3h8f","title":"FCC2001.131.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":[0.0000585003,0.0003761225,0.0004976427,0.0001597288,0.00004290666,0.00003588399,0.0007106775,0.0005418675,0.01086391],"category_scores_gemma":[0.0000218443,0.0003970402,0.0001171011,0.0001851514,0.00005228727,0.0001162496,0.00009041913,0.0006621414,0.2824486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005238376,"about_ca_system_score_gemma":0.00002922014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001724535,"about_ca_topic_score_gemma":0.0002681889,"domain_scores_codex":[0.9986939,0.00001258785,0.0003587665,0.0003721024,0.0002002275,0.0003623673],"domain_scores_gemma":[0.9986072,0.00001926792,0.00005543108,0.001152417,0.00001603968,0.0001496017],"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":[0.00000502864,0.00001138374,0.000002569554,0.0004483799,0.0001136489,0.0004008015,0.000008862975,0.00005284728,0.00003804477,0.00003735088,0.9986511,0.0002299787],"study_design_scores_gemma":[0.0002703101,0.00002260668,0.00001380176,0.0000696824,0.00009703691,0.0000282619,0.00001622064,0.00007055874,0.00003558087,0.000009191382,0.9989704,0.0003963729],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00000940172,0.00000497112,0.0001749743,0.000004426955,0.001360529,0.0002129218,0.9969628,0.0008489336,0.0004210278],"genre_scores_gemma":[0.0001435003,0.0005282945,0.0001608467,0.00009424304,0.0003345116,0.00003171818,0.9985819,0.00005812909,0.0000668066],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2715847,"threshold_uncertainty_score":0.9998481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01065405028365828,"score_gpt":0.1943328220315496,"score_spread":0.1836787717478913,"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."}}