{"id":"W4385757220","doi":"10.59350/bzv6q-j7p78","title":"EcoData Retriever now supports R and environmental data, and has more datasets","year":2014,"lang":"en","type":"preprint","venue":"","topic":"Data Analysis with R","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Labrador Retriever; Software; Computer science; Business; Operating system; Medicine; Surgery","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","open_science"],"consensus_categories":[],"category_scores_codex":[0.0007794297,0.0003829428,0.0004704845,0.0001459461,0.0001342542,0.001126679,0.004113643,0.0002040323,0.0002175375],"category_scores_gemma":[0.00005182605,0.0003366242,0.00003147607,0.00008223432,0.0002982227,0.001365899,0.03841884,0.0004132823,0.00009929626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002962283,"about_ca_system_score_gemma":0.00007822374,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002028577,"about_ca_topic_score_gemma":0.0001800051,"domain_scores_codex":[0.9965082,0.00008388211,0.0004069198,0.002170912,0.0004990796,0.0003309595],"domain_scores_gemma":[0.991537,0.00008830933,0.0002373103,0.00784972,0.00000764344,0.0002800274],"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":[0.000006054278,0.0000882295,0.01555418,0.0001041461,0.0002062594,0.0001385283,0.0001310642,0.00001585381,0.00004287686,0.0002292714,0.9625034,0.02098017],"study_design_scores_gemma":[0.0004287089,0.0000369417,0.01835583,0.00005600756,0.0002130821,0.00016095,0.00003645872,0.4265028,0.0001504414,0.0007768318,0.5522934,0.0009886399],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03249177,0.001455937,0.8319653,0.008233158,0.001001833,0.001028934,0.1227441,0.0003720745,0.0007068343],"genre_scores_gemma":[0.4908929,0.001441414,0.1419911,0.002827991,0.0002746125,0.00001750846,0.3610039,0.00006254404,0.001488111],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6899742,"threshold_uncertainty_score":0.9999102,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02618633419183571,"score_gpt":0.2594660227553227,"score_spread":0.2332796885634869,"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."}}