{"id":"W6931530121","doi":"10.5281/zenodo.7806097","title":"icepyx: querying, obtaining, analyzing, and manipulating ICESat-2 datasets","year":2023,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Acute Kidney Injury Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Software; Process (computing); Work (physics); Computer software; Information system; Software tool; Software development; Software system","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":[0.006514359,0.001894706,0.001091831,0.004422775,0.0008919452,0.004471526,0.002577037,0.0007557516,0.03007383],"category_scores_gemma":[0.01543084,0.001203193,0.001390157,0.003600172,0.0007577048,0.003709122,0.004216374,0.001874576,0.02478486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000932796,"about_ca_system_score_gemma":0.003254949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008024123,"about_ca_topic_score_gemma":0.008536486,"domain_scores_codex":[0.9969119,0.0004609361,0.0003798821,0.0005533913,0.001543162,0.0001506844],"domain_scores_gemma":[0.9937643,0.002434507,0.0003516082,0.001391269,0.001669976,0.0003883131],"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":[0.0002771224,0.00006875378,0.002689003,0.002026089,0.0002754611,0.0004027211,0.0006779649,0.003503645,0.009313958,0.009494376,0.8302114,0.1410595],"study_design_scores_gemma":[0.000182885,0.00004503352,0.00454068,0.0003753723,0.00009173208,0.0003413915,0.0001673329,0.01342795,0.01603208,0.009906001,0.954752,0.0001375523],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.005933578,0.00184996,0.3268445,0.001179175,0.0005582072,0.0008823021,0.1775546,0.4530665,0.03213117],"genre_scores_gemma":[0.03002279,0.002712194,0.3196871,0.001135967,0.000305506,0.001862501,0.4557916,0.1665573,0.02192515],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.03007383,"threshold_uncertainty_score":0.100607,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05935819710028992,"score_gpt":0.3177339867137478,"score_spread":0.2583757896134579,"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."}}