{"id":"W2485286041","doi":"10.32614/rj-2010-011","title":"dclone: Data Cloning in R","year":2010,"lang":"en","type":"article","venue":"The R Journal","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":105,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Directorate for Biological Sciences; University of Alberta; Alberta Biodiversity Monitoring Institute","keywords":"Cloning (programming); Biology; Computer science; Geography; Computational biology; Programming language","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.01056358,0.00314346,0.004074139,0.004267203,0.001296573,0.004359082,0.006131373,0.001589464,0.1105867],"category_scores_gemma":[0.04829015,0.003261222,0.00386678,0.003934748,0.001521047,0.003550761,0.004671428,0.008400989,0.09855188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009375821,"about_ca_system_score_gemma":0.003104286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002623536,"about_ca_topic_score_gemma":0.003473004,"domain_scores_codex":[0.9932633,0.002605411,0.0009966948,0.001495787,0.00131127,0.0003275854],"domain_scores_gemma":[0.9779364,0.01302003,0.001224413,0.005365286,0.001800341,0.0006534377],"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":[0.0006319119,0.00008439532,0.002116427,0.003912859,0.0010319,0.0003882388,0.0006318321,0.004493664,0.009307181,0.02966374,0.8505824,0.09715556],"study_design_scores_gemma":[0.0005727329,0.00008982294,0.002630586,0.0006469217,0.0004335949,0.0006129793,0.0001217842,0.02376472,0.02217178,0.06359053,0.8849223,0.0004422704],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.00117126,0.0006024744,0.6110474,0.000582233,0.0004813608,0.0003718813,0.118622,0.2623671,0.004754194],"genre_scores_gemma":[0.01111087,0.0006551265,0.6305638,0.000973372,0.0001747003,0.003015131,0.08989271,0.2572171,0.006397159],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.1105867,"threshold_uncertainty_score":0.3699494,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2516510934466327,"score_gpt":0.4652947572976266,"score_spread":0.2136436638509939,"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."}}