{"id":"W4398673154","doi":"10.7910/dvn/pkjufn/sxbrxw","title":"FCC2001.347.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":[0.0000585434,0.0003760205,0.0004975818,0.0001682329,0.00004214542,0.00003566851,0.0007080549,0.0005420166,0.01029997],"category_scores_gemma":[0.00002128288,0.000396957,0.0001170913,0.0001934893,0.0000521322,0.0001158613,0.00008968864,0.0006622743,0.2762477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005081292,"about_ca_system_score_gemma":0.00002849742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000186136,"about_ca_topic_score_gemma":0.000283039,"domain_scores_codex":[0.9986952,0.00001258857,0.000358575,0.000371801,0.0001998706,0.0003619817],"domain_scores_gemma":[0.9986083,0.0000193039,0.00005540953,0.001151509,0.00001600696,0.0001495022],"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":[0.000005031579,0.00001138636,0.000002536803,0.0004480561,0.0001130211,0.0004074869,0.000008492855,0.00005246192,0.00003248895,0.00003124532,0.9985678,0.0003200475],"study_design_scores_gemma":[0.0002714132,0.00002259548,0.00001997126,0.00007073668,0.00009685843,0.00002868885,0.00001583952,0.00006887091,0.00003629191,0.000008839077,0.9989637,0.0003962127],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00000732355,0.000004886635,0.0001722719,0.000004412512,0.001383364,0.0002129314,0.9967517,0.0008461379,0.000616968],"genre_scores_gemma":[0.000173752,0.0005533194,0.0001589621,0.00009318973,0.0003342069,0.00003175209,0.9985444,0.00005806978,0.00005236354],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2659478,"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."}}