{"id":"W6960971178","doi":"10.14288/1.0225446","title":"Canadian Pacific Steamships agent's stubs","year":2016,"lang":"en","type":"article","venue":"Open Collections","topic":"Medical Case Reports and Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ticket; Chin; Government (linguistics); Asia pacific","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":[0.0002166669,0.0005493302,0.000209393,0.001018294,0.005340482,0.001464238,0.0006436417,0.001201837,0.2660909],"category_scores_gemma":[0.001230422,0.0002330765,0.0002169983,0.001151388,0.0006483837,0.0009452021,0.0009852655,0.002004893,0.03192975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005483389,"about_ca_system_score_gemma":0.01221501,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7369207,"about_ca_topic_score_gemma":0.9239605,"domain_scores_codex":[0.9997588,0.00001094617,0.000006120147,0.00002012964,0.0001281944,0.00007582385],"domain_scores_gemma":[0.9992198,0.00004360257,0.00001825624,0.00002309165,0.0003595306,0.0003358184],"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":[0.00001117112,0.0000134822,0.000591949,0.00001553933,9.896612e-7,0.0005902452,0.0001586078,0.0000115833,0.000059276,0.0007666017,0.9837136,0.01406693],"study_design_scores_gemma":[0.000004343694,0.000005695103,0.001556965,0.00003853778,0.000001691198,0.0003931184,0.0006035467,0.00001846199,0.00004049631,0.0001116675,0.9972203,0.000005214024],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.007824443,0.003856987,0.000219577,0.03930924,0.009805202,0.00009588784,0.002504308,0.0002985033,0.9360858],"genre_scores_gemma":[0.01792798,0.003172133,0.0002004394,0.003424904,0.0006090524,0.00001372065,0.0008269355,0.00007102296,0.9737538],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2660909,"threshold_uncertainty_score":0.8901628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04477344659241345,"score_gpt":0.2925056251040575,"score_spread":0.2477321785116441,"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."}}