{"id":"W4398595602","doi":"10.7910/dvn/pkjufn/uujtlj","title":"FCC2001.158.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":[0.00005925085,0.0003757717,0.0004983458,0.0001595758,0.00003770991,0.00003575935,0.0007093652,0.0005419205,0.01159608],"category_scores_gemma":[0.00002192398,0.0003966569,0.0001170705,0.0001847074,0.00005219848,0.000115865,0.0000898293,0.0006633673,0.3305417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005268027,"about_ca_system_score_gemma":0.00002925447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001692163,"about_ca_topic_score_gemma":0.0002624306,"domain_scores_codex":[0.9986937,0.00001264498,0.0003581815,0.0003711303,0.0001998573,0.0003644869],"domain_scores_gemma":[0.9986101,0.0000192591,0.00005540636,0.001148963,0.00001600696,0.0001502699],"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":[0.000005014478,0.00001137177,0.00000265445,0.0004488144,0.0001130962,0.0004007948,0.000008705826,0.00005232795,0.00003539687,0.00003655389,0.9986761,0.0002091341],"study_design_scores_gemma":[0.0002693401,0.00002265219,0.00001401379,0.00006977718,0.00009684728,0.00002790381,0.00001603633,0.00006997956,0.00003497139,0.000009079833,0.9989734,0.0003959743],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000008569036,0.000005235041,0.000167861,0.00000434991,0.001399919,0.0002126591,0.9968954,0.0008191204,0.0004868667],"genre_scores_gemma":[0.0001236615,0.0005310497,0.0001589883,0.00009351672,0.0003397359,0.00002237406,0.9985967,0.0000578112,0.00007618752],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3189456,"threshold_uncertainty_score":0.9998485,"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."}}