{"id":"W6961058422","doi":"10.14288/1.0225483","title":"Canadian Pacific Steamships agent's stubs","year":2016,"lang":"en","type":"article","venue":"Open Collections","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ticket; Pacific Area; Antipodes","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":[],"category_scores_codex":[0.0003957038,0.0005789221,0.0002854926,0.001020946,0.006741633,0.002015386,0.0006574089,0.0008444536,0.3936757],"category_scores_gemma":[0.00132481,0.0003185296,0.0002411834,0.001316081,0.000532518,0.0008796088,0.001296166,0.001592427,0.05626871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006961303,"about_ca_system_score_gemma":0.02064477,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8952762,"about_ca_topic_score_gemma":0.9744294,"domain_scores_codex":[0.9996517,0.00001115629,0.000005632187,0.00003136502,0.0001889555,0.0001112082],"domain_scores_gemma":[0.9986497,0.0000383596,0.00002834522,0.00005088096,0.0006355329,0.0005972568],"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":[0.00002673906,0.00001812481,0.0007966774,0.0000202481,0.000001842281,0.00007503977,0.0001442699,0.0000374186,0.0001727788,0.001077434,0.9778339,0.0197955],"study_design_scores_gemma":[0.000007010714,0.000007025861,0.003526782,0.0000163278,0.000002090173,0.00002234835,0.000472581,0.00005781159,0.00009177937,0.0001060658,0.9956822,0.000008029893],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.009421971,0.0008092776,0.0006020703,0.0125081,0.003734632,0.0002972618,0.01161536,0.001123861,0.9598874],"genre_scores_gemma":[0.01199302,0.0004761087,0.0004964874,0.0006660694,0.0001725095,0.00002349108,0.002241845,0.000145576,0.9837849],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3936757,"threshold_uncertainty_score":0.864848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01705412434283685,"score_gpt":0.2336615864314689,"score_spread":0.216607462088632,"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."}}