{"id":"W6904755797","doi":"10.14288/1.0375300","title":"Go Empress to Europe by Canadian Pacific","year":2018,"lang":"en","type":"article","venue":"Open Collections","topic":"Maritime and Coastal Archaeology","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"White (mutation); Government (linguistics); Work (physics); Pacific ocean","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006891586,0.0005973718,0.0002715217,0.0008893492,0.0162002,0.003579338,0.0005936827,0.002038584,0.1176576],"category_scores_gemma":[0.001798503,0.0002825543,0.0002222474,0.001006002,0.001458662,0.001446895,0.003117788,0.002876944,0.01728213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007533784,"about_ca_system_score_gemma":0.02358388,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8348153,"about_ca_topic_score_gemma":0.9595075,"domain_scores_codex":[0.9993744,0.00002926396,0.000008533582,0.00006304093,0.0002251036,0.0002996795],"domain_scores_gemma":[0.9984863,0.00005166702,0.00002531936,0.00003647039,0.0006779317,0.0007221778],"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":[0.000007478651,0.000003545787,0.0002485998,0.00001218655,7.805451e-7,0.00005884131,0.0004299181,0.000007337162,0.00007470321,0.0008272387,0.9929971,0.00533229],"study_design_scores_gemma":[0.000001237289,0.000001860841,0.001172286,0.00003559523,9.479387e-7,0.00002394384,0.002179934,0.000006300409,0.00004281089,0.00006197442,0.9964688,0.000004314544],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.009551712,0.0108606,0.0004953296,0.1194952,0.03482983,0.000118405,0.002060796,0.0004226738,0.8221655],"genre_scores_gemma":[0.01825435,0.003183752,0.0002976371,0.01516777,0.0008898914,0.00002559346,0.0004376868,0.0001304954,0.9616128],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1651847,"threshold_uncertainty_score":0.3936039,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02079176347625692,"score_gpt":0.2266903048344556,"score_spread":0.2058985413581987,"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."}}