{"id":"W6904630853","doi":"10.14288/1.0225691","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; Government (linguistics); Pacific Area; 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":[0.0004447279,0.0005809657,0.0002581723,0.001237999,0.01114439,0.002774743,0.0006779343,0.001088145,0.3256497],"category_scores_gemma":[0.0014572,0.0003442586,0.00020476,0.00174405,0.0007585406,0.001206211,0.001646699,0.001754174,0.04259089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008341161,"about_ca_system_score_gemma":0.02753056,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9209725,"about_ca_topic_score_gemma":0.9855924,"domain_scores_codex":[0.9995863,0.00001597217,0.000007481154,0.00003644677,0.0002066446,0.000147211],"domain_scores_gemma":[0.9985933,0.00005436976,0.00003072832,0.00005422219,0.0006615387,0.0006059428],"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":[0.00001703671,0.00001160891,0.0006489925,0.00002192682,0.000001238863,0.00009902954,0.0004271291,0.00002395405,0.0001228479,0.001381144,0.9807318,0.01651337],"study_design_scores_gemma":[0.000002919287,0.000003255676,0.002112724,0.00001817504,0.000001365026,0.00002104639,0.001134322,0.00002395207,0.00006561977,0.00006464329,0.9965463,0.000005782174],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.009994117,0.001269504,0.0004378922,0.01441675,0.003511756,0.0002314225,0.008177406,0.0007748154,0.9611863],"genre_scores_gemma":[0.01365355,0.0007343599,0.0003907328,0.0008177144,0.0001493471,0.00002213272,0.001443614,0.0001389411,0.9826496],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3256497,"threshold_uncertainty_score":0.9618788,"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."}}