{"id":"W4414939975","doi":"10.59350/vw8k0-p5960","title":"EcoData Retriever now supports R and environmental data, and has more datasets","year":2014,"lang":"en","type":"article","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; Animal welfare; Animal health; Work (physics)","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":[0.008923145,0.00278003,0.003453845,0.005551144,0.001473332,0.006288063,0.005383337,0.001852805,0.1545743],"category_scores_gemma":[0.0421696,0.002160418,0.003507936,0.006996484,0.001139087,0.006562694,0.004762058,0.004818157,0.2138259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008393407,"about_ca_system_score_gemma":0.002781789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005573473,"about_ca_topic_score_gemma":0.008078704,"domain_scores_codex":[0.9940178,0.001308087,0.0007443453,0.001303741,0.002298829,0.0003271487],"domain_scores_gemma":[0.9749488,0.009168199,0.002015478,0.008312832,0.004028492,0.001526157],"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":[0.00027934,0.00004130399,0.002589646,0.001090434,0.0002767625,0.0001700307,0.0001658071,0.0008091623,0.004414413,0.005597265,0.9375342,0.04703153],"study_design_scores_gemma":[0.0001479763,0.0000636006,0.003530689,0.0001705417,0.0001491595,0.0003459021,0.00005717275,0.001758183,0.00708192,0.01284935,0.9736691,0.0001763149],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.002103955,0.001064107,0.1491443,0.00267097,0.001274821,0.000331871,0.4452295,0.3731559,0.02502464],"genre_scores_gemma":[0.01367649,0.001396035,0.1805178,0.004059525,0.0006442524,0.001632304,0.4848257,0.286229,0.02701878],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.1545743,"threshold_uncertainty_score":0.5171027,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01719663435996984,"score_gpt":0.2366446119296559,"score_spread":0.219447977569686,"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."}}