{"id":"W4366385366","doi":"10.1017/9781009327978.001","title":"Maps","year":2023,"lang":"en","type":"other","venue":"","topic":"Global Maritime and Colonial Histories","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Database; Information retrieval; World Wide Web","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007934206,0.0007816379,0.0004849184,0.006968668,0.001111108,0.004288927,0.001218954,0.0005981341,0.586704],"category_scores_gemma":[0.005709766,0.0004073412,0.0005475004,0.01047961,0.000396992,0.003042017,0.001591583,0.0009201689,0.2855323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001804284,"about_ca_system_score_gemma":0.003137883,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02914026,"about_ca_topic_score_gemma":0.0261492,"domain_scores_codex":[0.9990665,0.0001022034,0.00008776462,0.0001261093,0.0005270661,0.00009039009],"domain_scores_gemma":[0.9966497,0.0004638169,0.0001878775,0.0003603017,0.002146112,0.0001922522],"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":[0.00001956447,0.000005074528,0.0001671298,0.0004018398,0.000004521491,0.00003837096,0.0001458987,0.0002158882,0.00008861413,0.003728018,0.9570205,0.03816453],"study_design_scores_gemma":[0.000001946069,0.000001884605,0.0003884864,0.00006912273,0.000001189443,0.00001257982,0.0001106338,0.00002472576,0.00003121652,0.0006096027,0.998745,0.000003551493],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0009281571,0.001132257,0.003014709,0.002758823,0.001853356,0.0004419854,0.3743215,0.004135654,0.6114136],"genre_scores_gemma":[0.01397614,0.005499203,0.007449382,0.0008759632,0.001087613,0.0008026192,0.2807284,0.004161778,0.685419],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.413296,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01493065380395761,"score_gpt":0.2830107445168522,"score_spread":0.2680800907128946,"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."}}