{"id":"W4288570073","doi":"10.46692/9781529202465.003","title":"Getting to the Frontiers: Methodologies","year":2019,"lang":"en","type":"other","venue":"","topic":"Historical Geography and Geographical Thought","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Winnipeg; University of Windsor","funders":"","keywords":"Computer science; Data science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001278854,0.0001534583,0.0002778136,0.000221304,0.0003031898,0.00006477188,0.0007302428,0.00037199,0.001910366],"category_scores_gemma":[0.0006897085,0.00009194478,0.0002338833,0.001351184,0.0002360271,0.00002278864,0.0000879287,0.0002583222,0.001014604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000234116,"about_ca_system_score_gemma":0.00004519111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006034658,"about_ca_topic_score_gemma":0.002939107,"domain_scores_codex":[0.9981758,0.0006041395,0.0001262698,0.0003111847,0.000391167,0.0003914518],"domain_scores_gemma":[0.9990615,0.0003395188,0.00007902435,0.000370167,0.00002683067,0.0001229541],"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":[0.000001706107,0.000004502924,0.00007142494,0.000004702914,0.00003551148,6.133245e-7,0.0007781576,5.564634e-7,1.920227e-7,0.02398059,0.9388824,0.03623962],"study_design_scores_gemma":[0.00002661975,0.00001329086,0.0000282793,0.00001998461,0.00001946218,3.805548e-8,0.001784814,1.971943e-7,4.327404e-7,0.001975396,0.9959579,0.0001735952],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[1.47967e-7,0.004171185,0.01677928,0.009637803,0.002760729,0.0004672533,0.00000792016,0.0004113274,0.9657643],"genre_scores_gemma":[0.000007143213,0.000664188,0.04478662,0.001829862,0.001227014,0.00002561606,0.000001516324,0.00007821112,0.9513798],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05707546,"threshold_uncertainty_score":0.9997633,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04896200987404469,"score_gpt":0.3433418357791995,"score_spread":0.2943798259051548,"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."}}