{"id":"W7066899386","doi":"","title":"Imagined transmigrations","year":2019,"lang":"en","type":"article","venue":"Oxford University Research Archive (ORA) (University of Oxford)","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Polity; Population; Quarter (Canadian coin); Population growth; 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":[],"consensus_categories":[],"category_scores_codex":[0.003728224,0.0005482493,0.0004167789,0.0008057242,0.01047591,0.006701289,0.001217837,0.004689137,0.04474955],"category_scores_gemma":[0.007387326,0.0003625284,0.0005563683,0.0006979782,0.01045712,0.01212213,0.009736045,0.007159642,0.007763033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002297343,"about_ca_system_score_gemma":0.001254528,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002304301,"about_ca_topic_score_gemma":0.004584904,"domain_scores_codex":[0.9974918,0.0009445556,0.00007236153,0.0004475722,0.0002657495,0.0007778677],"domain_scores_gemma":[0.9980427,0.0004175513,0.0001791274,0.0004055536,0.0002490769,0.0007058022],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000490809,0.00004279638,0.001591664,0.00004366794,0.00001526068,0.001000736,0.01653317,0.0001624994,0.0001740109,0.8565995,0.09277748,0.03101031],"study_design_scores_gemma":[0.00001843687,0.00003924264,0.0008964924,0.0001804478,0.000007401231,0.001450173,0.01526176,0.0001801618,0.0001173647,0.1352196,0.8466063,0.00002273413],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0766442,0.008021615,0.008886924,0.1908146,0.007863901,0.000082823,0.0004529084,0.0001817388,0.7070513],"genre_scores_gemma":[0.6890394,0.006978163,0.002951222,0.05958376,0.002663717,0.00015329,0.0003956452,0.0002407549,0.237994],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04474955,"threshold_uncertainty_score":0.1497022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01217894117100803,"score_gpt":0.2489766424284284,"score_spread":0.2367977012574204,"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."}}