{"id":"W2951225221","doi":"10.1111/2041-210x.13038","title":"Would an <scp>RRS</scp> by any other name sound as <scp>RAD</scp> ?","year":2018,"lang":"en","type":"article","venue":"Methods in Ecology and Evolution","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Misattribution of memory; Ambiguity; CLARITY; Shotgun sequencing; Consistency (knowledge bases); Representation (politics); Computer science; Computational biology; Information retrieval; Psychology; DNA sequencing; Biology; Genetics; Artificial intelligence; DNA; Cognition; Political science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01048156,0.0008269587,0.0008476138,0.003020787,0.002825273,0.005833829,0.002232944,0.003375886,0.05511147],"category_scores_gemma":[0.02947613,0.0003759646,0.0009352044,0.004237909,0.004235674,0.004900609,0.002398102,0.003457423,0.03278364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002757788,"about_ca_system_score_gemma":0.002848319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003388585,"about_ca_topic_score_gemma":0.002828028,"domain_scores_codex":[0.9939325,0.002502671,0.0008033959,0.0006741587,0.001830093,0.0002570145],"domain_scores_gemma":[0.9754578,0.008464508,0.003177502,0.003642698,0.008232241,0.00102534],"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":[0.0002430409,0.00006002463,0.001977147,0.001729318,0.00006130806,0.0008979861,0.00105997,0.0004052504,0.004328801,0.1346257,0.733409,0.1212024],"study_design_scores_gemma":[0.000008232083,0.00002788787,0.0007846275,0.0005956956,0.00001968419,0.0004760168,0.0003784617,0.0003571078,0.002263599,0.01883699,0.9762079,0.00004386596],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.01701995,0.02464725,0.1810442,0.2856866,0.166096,0.0006200423,0.01236639,0.00901736,0.3035021],"genre_scores_gemma":[0.1859365,0.03637429,0.2336417,0.1435962,0.04690327,0.001344605,0.01648819,0.01033592,0.3253794],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.05511147,"threshold_uncertainty_score":0.1843662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01760871398795658,"score_gpt":0.3275116589329435,"score_spread":0.3099029449449869,"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."}}