{"id":"W4398309011","doi":"10.7910/dvn/pkjufn/jrfcna","title":"FCC2001.187.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":[0.00005793922,0.000374179,0.0004937481,0.00015905,0.00004230783,0.00003555814,0.0007028566,0.0005379725,0.01038321],"category_scores_gemma":[0.00002246014,0.0003954684,0.0001131745,0.0001926646,0.00005205949,0.0001163793,0.00008997158,0.0006527392,0.2861546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005205712,"about_ca_system_score_gemma":0.00002954206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001615686,"about_ca_topic_score_gemma":0.0001856606,"domain_scores_codex":[0.9987051,0.00001244221,0.0003554774,0.0003701257,0.0001985561,0.0003582585],"domain_scores_gemma":[0.9986119,0.00001923201,0.0000558467,0.001147893,0.00001676936,0.0001483735],"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":[0.000005004305,0.00001140552,0.000002931105,0.0004600675,0.000112548,0.0004059964,0.000008571,0.00005982683,0.00004361753,0.00003618803,0.9986436,0.0002102788],"study_design_scores_gemma":[0.000265173,0.00002243593,0.00001347251,0.00006894371,0.0000963975,0.00002740708,0.00001300248,0.00007074344,0.0000425754,0.00000927994,0.998976,0.0003945474],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001231567,0.000004996541,0.0001365283,0.000004443677,0.001364084,0.0002115257,0.9970886,0.000846152,0.0003313475],"genre_scores_gemma":[0.0001851704,0.0004275268,0.0001280158,0.00009108117,0.00033446,0.00003164035,0.9986826,0.00005794668,0.00006159179],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2757714,"threshold_uncertainty_score":0.9998497,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01028652203682825,"score_gpt":0.1923226118222426,"score_spread":0.1820360897854144,"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."}}