{"id":"W6961073498","doi":"10.14288/1.0225503","title":"Canadian Pacific Steamships agent's stubs","year":2016,"lang":"en","type":"article","venue":"Open Collections","topic":"Wood and Agarwood Research","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ticket; Government (linguistics); Pacific Area; Kingdom","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":["insufficient_payload"],"category_scores_codex":[0.00051543,0.0007105668,0.0003515973,0.00141749,0.007418089,0.002745568,0.0007125078,0.001050683,0.5520062],"category_scores_gemma":[0.00143487,0.0004199538,0.0002815338,0.001612941,0.0006201069,0.001215573,0.001328841,0.001640949,0.133504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006642969,"about_ca_system_score_gemma":0.02130717,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.8023161,"about_ca_topic_score_gemma":0.9534671,"domain_scores_codex":[0.9995162,0.00001309048,0.000007532086,0.00003884946,0.0002922004,0.0001321765],"domain_scores_gemma":[0.9983587,0.00004375612,0.000030144,0.00006216027,0.0008788324,0.0006265346],"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":[0.00002307565,0.0000192915,0.000321221,0.00002335223,0.000001135986,0.00005279516,0.0000882377,0.00002001623,0.0001970684,0.001273751,0.9823981,0.01558209],"study_design_scores_gemma":[0.000003731041,0.000004766135,0.001009713,0.00001064535,0.000001064177,0.00001203611,0.0002063796,0.00002079609,0.0000842339,0.00005880496,0.9985839,0.000003882974],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002692764,0.0007547608,0.0002985843,0.006307712,0.002514781,0.0002137313,0.005498912,0.0007838737,0.9809348],"genre_scores_gemma":[0.003727696,0.0004394848,0.000214015,0.000317728,0.0001045915,0.00001576603,0.0009458252,0.0001010792,0.9941338],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8023161,"threshold_uncertainty_score":0.6390087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03240784506387319,"score_gpt":0.2748561838691884,"score_spread":0.2424483388053152,"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."}}