{"id":"W6886061295","doi":"10.14288/1.0372908","title":"Private Code Canadian Pacific Steamships, Limited Trans-Pacific","year":2018,"lang":"en","type":"article","venue":"Open Collections","topic":"Law, logistics, and international trade","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Code (set theory); Government (linguistics); Private sector; Coal; Key (lock)","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":[0.0003489752,0.0008623883,0.000272207,0.002172126,0.006010372,0.003751151,0.0009841523,0.001140517,0.2643211],"category_scores_gemma":[0.002158426,0.0005833377,0.0002638544,0.004109867,0.001073287,0.001553671,0.001330419,0.001910169,0.06588633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01104461,"about_ca_system_score_gemma":0.04660309,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8935506,"about_ca_topic_score_gemma":0.9617579,"domain_scores_codex":[0.9991353,0.00002006376,0.00001472907,0.00007770446,0.0005798441,0.0001723495],"domain_scores_gemma":[0.9981133,0.0000640322,0.00004201073,0.0001117563,0.001386264,0.0002826193],"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":[0.00002152673,0.000009818373,0.0004619834,0.00006228728,0.000001536869,0.0000662134,0.0001764453,0.00008542582,0.0001913074,0.01792265,0.9355335,0.04546737],"study_design_scores_gemma":[0.000001779276,0.000001746142,0.001040783,0.00001732587,8.490059e-7,0.00002633247,0.00009704851,0.00003896445,0.00006731797,0.0002663611,0.9984379,0.000003614507],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001428839,0.001280141,0.0006210509,0.002084013,0.00069732,0.0000806181,0.00750837,0.0004337493,0.985866],"genre_scores_gemma":[0.005035616,0.0007290401,0.0003754013,0.0002558535,0.00004555207,0.00001892461,0.001785362,0.0001641296,0.9915901],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2643211,"threshold_uncertainty_score":0.8842421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04525402144907435,"score_gpt":0.2493815239358399,"score_spread":0.2041275024867656,"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."}}