{"id":"W6961033260","doi":"10.14288/1.0225080","title":"Canadian Pacific Steamships agent's stubs","year":2016,"lang":"en","type":"article","venue":"Open Collections","topic":"Traditional and Medicinal Uses of Annonaceae","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ticket; Government (linguistics); Power (physics); Pacific Area","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008178887,0.00007999018,0.0000702744,0.00003520988,0.0007933733,0.000126107,0.0002232322,0.00006173554,0.0006657814],"category_scores_gemma":[0.00004097193,0.00005834566,0.00004287363,0.0001641704,0.00004446351,0.000007027917,0.00004966474,0.00003810695,0.00006102493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000710127,"about_ca_system_score_gemma":0.0004968867,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.05089129,"about_ca_topic_score_gemma":0.2340658,"domain_scores_codex":[0.9994,0.0000277059,0.00009063989,0.0002112813,0.00007191233,0.0001984707],"domain_scores_gemma":[0.9994773,0.00001178008,0.00002151929,0.000187172,0.00006699745,0.000235184],"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":[0.00003611352,0.00003869722,0.0002662787,0.000001238769,0.00004173957,0.000005760511,0.000009504492,0.000001043385,0.01108154,0.000203871,0.98665,0.00166424],"study_design_scores_gemma":[0.000460495,0.0002106527,0.001324809,0.00001468269,0.000007765355,0.00003649942,0.0001411028,4.167464e-7,0.003514486,0.0005185471,0.9936561,0.0001144358],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02578529,0.0001609204,0.0003692707,0.006700143,0.0006892101,0.000507523,0.0004329824,0.00001747463,0.9653372],"genre_scores_gemma":[0.5121621,0.0001338804,0.0001474424,0.0003618147,0.0002093045,0.00006114339,0.00005183034,0.00001068071,0.4868618],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.4863769,"threshold_uncertainty_score":0.9554289,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01696487854795013,"score_gpt":0.2411487161665079,"score_spread":0.2241838376185578,"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."}}