{"id":"W6923673140","doi":"10.14288/1.0225288","title":"Canadian Pacific Steamships agent's stubs","year":2016,"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":"Ticket; Antipodes; Government (linguistics); Asia pacific; Variety (cybernetics)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004943046,0.0006083446,0.0002553892,0.001259754,0.01045927,0.003098642,0.0006541905,0.001094216,0.3296116],"category_scores_gemma":[0.001549199,0.0003454722,0.0002174596,0.00168322,0.0007299801,0.001252312,0.001663365,0.001784931,0.04610748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008216713,"about_ca_system_score_gemma":0.02807724,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9097925,"about_ca_topic_score_gemma":0.9808341,"domain_scores_codex":[0.9995201,0.00001671325,0.000008328009,0.00003909304,0.0002585587,0.0001572708],"domain_scores_gemma":[0.9983813,0.00005714606,0.00003099826,0.00006062034,0.0008161401,0.0006539234],"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":[0.00001645687,0.00001283188,0.0006000562,0.00002069141,0.000001260324,0.00008966961,0.0003258926,0.00002673054,0.0001229473,0.001504145,0.9794445,0.0178348],"study_design_scores_gemma":[0.000002624401,0.000003223973,0.001668408,0.00001632971,0.000001238535,0.00001867163,0.0008542846,0.00002412353,0.00006459295,0.00006364821,0.9972777,0.000005117958],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.008048036,0.001171822,0.0004249904,0.01341577,0.003566229,0.0001937539,0.005997259,0.0006994702,0.9664827],"genre_scores_gemma":[0.01131793,0.0007270363,0.0003354822,0.0006764539,0.0001444213,0.00001693327,0.001159316,0.0001191712,0.9855033],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3296116,"threshold_uncertainty_score":0.9562277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03109806922763426,"score_gpt":0.2198702845563652,"score_spread":0.188772215328731,"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."}}