{"id":"W4403463711","doi":"10.25080/frkj7844","title":"Pooch: A friend to fetch your data files","year":2024,"lang":"en","type":"dataset","venue":"","topic":"Computational Physics and Python Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Fetch; Computer science; Geology; Oceanography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001768681,0.001805068,0.0009204425,0.002543347,0.001427237,0.002150222,0.002166158,0.001006354,0.1406871],"category_scores_gemma":[0.008363225,0.0008782249,0.00095072,0.003184664,0.0005286587,0.004124352,0.003934815,0.002937286,0.2641042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000843551,"about_ca_system_score_gemma":0.001317886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005205887,"about_ca_topic_score_gemma":0.01365784,"domain_scores_codex":[0.9991398,0.0001319965,0.00006394682,0.0002666716,0.0002613938,0.0001361123],"domain_scores_gemma":[0.997004,0.0004858547,0.00009822602,0.00133316,0.0006795238,0.0003994189],"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":[0.00002874984,0.0000107335,0.0003329617,0.00006468331,0.000005786787,0.00001086156,0.00002420065,0.00006461747,0.0001686131,0.0004241558,0.9938226,0.005042108],"study_design_scores_gemma":[0.00006513222,0.00001417666,0.001483273,0.00007072787,0.000007531711,0.00006373657,0.00009940252,0.0009064268,0.002013363,0.004711676,0.9905335,0.00003103622],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00128572,0.0001530472,0.009630538,0.0009147697,0.0004368756,0.0001413347,0.9078744,0.06505198,0.01451126],"genre_scores_gemma":[0.003967853,0.0001272956,0.0190516,0.0006594271,0.00006319988,0.0006467774,0.9511254,0.01296679,0.01139168],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1406871,"threshold_uncertainty_score":0.4706454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0688092364669775,"score_gpt":0.3475383626572472,"score_spread":0.2787291261902697,"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."}}