{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001382852,0.0002004788,0.0001735431,0.0001579084,0.00008563406,0.0006344343,0.004393488,0.00007169113,0.0002325118],"category_scores_gemma":[0.00002121143,0.0001795583,0.00004995111,0.0007199091,0.00001351593,0.000198087,0.004168618,0.0002295022,0.02195969],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002178864,"about_ca_system_score_gemma":0.000227474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002715976,"about_ca_topic_score_gemma":0.0001130665,"domain_scores_codex":[0.9982828,0.00001713957,0.0002205425,0.0009193883,0.0003677068,0.000192377],"domain_scores_gemma":[0.9966284,0.0001255862,0.0000505145,0.002977043,0.00007085715,0.0001476092],"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":[3.296033e-7,0.00003275997,3.061249e-8,0.00002065454,0.00001958497,0.00000598528,0.00002058698,0.00003593657,0.000001346364,0.02399138,0.9705976,0.00527381],"study_design_scores_gemma":[0.00002414086,0.00001308439,0.000008578208,0.00002276963,0.00001438895,0.000006154085,0.000004401681,0.0104534,0.000001816956,0.02098399,0.9682435,0.0002237531],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[4.753939e-7,0.00006260703,0.1335641,0.004121799,0.0004354493,0.000191416,0.860646,0.0001163695,0.0008617846],"genre_scores_gemma":[0.00001248352,0.00001465942,0.02656921,0.001187908,0.0003877386,0.00004835993,0.9711177,0.000009959854,0.0006519371],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1104717,"threshold_uncertainty_score":0.9788018,"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."}}