{"id":"W6950117574","doi":"10.5281/zenodo.4739726","title":"OCESE: Open Source Computing for Earth Science Education","year":2021,"lang":"en","type":"article","venue":"Figshare","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Open source; Earth observation; Science education; Earth (classical element); Earth system science","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":[0.004815709,0.001163553,0.0008276122,0.001891184,0.001382927,0.00539326,0.001769403,0.002464083,0.1576219],"category_scores_gemma":[0.00834047,0.0006005544,0.0009692056,0.002014701,0.001087844,0.01170515,0.006883804,0.005400634,0.07556893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005898086,"about_ca_system_score_gemma":0.001492226,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001677562,"about_ca_topic_score_gemma":0.002183983,"domain_scores_codex":[0.9979705,0.0003906545,0.00009711203,0.0002755012,0.0009904727,0.0002757214],"domain_scores_gemma":[0.9919595,0.002372495,0.0002038338,0.001329343,0.001301198,0.002833535],"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":[0.0001363422,0.00007590778,0.000284695,0.0001780857,0.00001713687,0.00007172802,0.000162255,0.0004229635,0.001833479,0.01773551,0.8853936,0.09368834],"study_design_scores_gemma":[0.00006618149,0.00003442277,0.0008145056,0.0001286425,0.000006556468,0.00006674535,0.0001313806,0.002444836,0.002207225,0.02457239,0.9694941,0.00003287056],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.006729337,0.008722406,0.4117025,0.09115938,0.02070229,0.0005723843,0.02080498,0.187974,0.2516327],"genre_scores_gemma":[0.05189261,0.01163348,0.1715908,0.01499025,0.01207003,0.001057784,0.0593223,0.08174457,0.5956982],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1576219,"threshold_uncertainty_score":0.5272978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3097628044291026,"score_gpt":0.471953578293055,"score_spread":0.1621907738639524,"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."}}