{"id":"W3000522262","doi":"10.1002/ece3.5970","title":"A checklist for choosing between R packages in ecology and evolution","year":2020,"lang":"en","type":"article","venue":"Ecology and Evolution","topic":"Data Analysis with R","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; York University","funders":"","keywords":"Workflow; Ecology; Computer science; Evolutionary ecology; Data science; Checklist; Process (computing); Management science; Biology; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003710638,0.00009927735,0.0002284691,0.000130525,0.0001652258,0.00003762619,0.0001851465,0.00014979,0.000003285103],"category_scores_gemma":[0.0002233803,0.0001029543,0.00002614474,0.0002761654,0.00009768922,0.0004521017,0.0001778846,0.0001237365,0.00001273856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000110751,"about_ca_system_score_gemma":0.00005555801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004662804,"about_ca_topic_score_gemma":0.000600757,"domain_scores_codex":[0.9989512,0.0001092205,0.0002102648,0.000414323,0.00005285361,0.0002621708],"domain_scores_gemma":[0.9994766,0.0001754491,0.00008795336,0.0001390179,0.00003531764,0.00008566168],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001510072,0.00001932683,0.9832228,0.00002572529,0.0000220103,0.000002748667,0.0002913364,0.00003626569,0.0004380626,0.01343358,0.001253084,0.001239975],"study_design_scores_gemma":[0.0005492356,0.0001862777,0.9494672,0.000004761326,0.00002493311,0.000005485382,0.00004112013,0.04168638,0.0000316363,0.007351156,0.0005488107,0.0001029614],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7950004,0.0002576856,0.1949748,0.009271924,0.000128656,0.0002188848,0.00001235642,0.00005715102,0.00007819249],"genre_scores_gemma":[0.9942607,0.00001984508,0.005219129,0.000305485,0.0001125366,0.00002742856,0.00002356228,0.000004357031,0.00002694858],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1992603,"threshold_uncertainty_score":0.4198356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01662091244123715,"score_gpt":0.25156243227777,"score_spread":0.2349415198365328,"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."}}