{"id":"W6961273232","doi":"10.14288/1.0432134","title":"S.S. Britannia - Vancouver, B.C.","year":2023,"lang":"en","type":"other","venue":"Open Collections","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Perspective (graphical); Government (linguistics); Context (archaeology); Subject (documents)","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":[0.0002605181,0.0007848532,0.0004899274,0.0009064526,0.002447046,0.003966241,0.0006455385,0.001173258,0.5745187],"category_scores_gemma":[0.0007766474,0.0002984975,0.0002857426,0.001604131,0.0005212598,0.0008425653,0.001091924,0.002046296,0.4014263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00264934,"about_ca_system_score_gemma":0.003815523,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1667026,"about_ca_topic_score_gemma":0.4510116,"domain_scores_codex":[0.999775,0.00001220478,0.000003666009,0.00006864213,0.0001006509,0.00003980077],"domain_scores_gemma":[0.9992747,0.00003726822,0.00001754177,0.00003859217,0.0003522035,0.0002796842],"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":[0.00001605912,0.000003197351,0.00008368868,0.00003498869,0.000001436109,0.00002844471,0.00001785403,0.00002981571,0.0001882618,0.001207343,0.9809977,0.01739106],"study_design_scores_gemma":[9.360076e-7,8.226842e-7,0.0002991054,0.00001864063,6.674886e-7,0.00001398724,0.00002885749,0.000008762671,0.0000355341,0.00007391238,0.9995168,0.000002007423],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005491774,0.007932574,0.0003820746,0.009426613,0.007723411,0.00002364027,0.007356609,0.0008100354,0.9657958],"genre_scores_gemma":[0.001254866,0.001297703,0.0001820698,0.0005758872,0.00008607647,0.000006478796,0.0008850462,0.0001842323,0.9955277],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8332974,"threshold_uncertainty_score":0.6068974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009045373348594819,"score_gpt":0.2412385343517618,"score_spread":0.232193161003167,"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."}}