{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.008223111,0.003003525,0.003697171,0.00610108,0.001540313,0.00672997,0.005593733,0.00202892,0.1580695],"category_scores_gemma":[0.03975331,0.002197226,0.003479763,0.007843163,0.00123889,0.006650046,0.004851776,0.005056149,0.2336951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008574083,"about_ca_system_score_gemma":0.002862517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005425633,"about_ca_topic_score_gemma":0.007223392,"domain_scores_codex":[0.9937521,0.001272023,0.0007070185,0.00132362,0.002591219,0.0003541138],"domain_scores_gemma":[0.9777129,0.007556083,0.001701632,0.008026419,0.003606607,0.001396355],"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":[0.0002222565,0.00003666437,0.002275408,0.001018292,0.000256741,0.0001626098,0.0001434743,0.0007574215,0.004169688,0.006115262,0.9427807,0.0420614],"study_design_scores_gemma":[0.0001466358,0.00005604031,0.003388118,0.0001592585,0.0001377962,0.0003699479,0.00005268905,0.001731413,0.006894214,0.01627053,0.9706327,0.0001605461],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.002001024,0.001123046,0.1395042,0.002630344,0.00134643,0.0002903026,0.4744224,0.3530124,0.02566983],"genre_scores_gemma":[0.01255712,0.001464712,0.1674071,0.003552164,0.0006921692,0.001463398,0.5133731,0.2738107,0.02567964],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.9944063,"threshold_uncertainty_score":0.5287951,"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."}}