{"id":"W6911832371","doi":"10.5281/zenodo.1465063","title":"The Carpentries Annual Report 2018","year":2018,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Oil Spill Detection and Mitigation","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Annual report; Fiscal year; Government (linguistics); Duration (music)","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":[0.002738802,0.001423457,0.0006458942,0.004649201,0.00105727,0.003793783,0.002152072,0.001109729,0.1301623],"category_scores_gemma":[0.006888784,0.0005440012,0.0005736858,0.00540779,0.0003505303,0.002524464,0.001901285,0.001398718,0.1395602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003976946,"about_ca_system_score_gemma":0.01438996,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1146682,"about_ca_topic_score_gemma":0.09970541,"domain_scores_codex":[0.9971063,0.0002134872,0.0002609043,0.0002570659,0.001778857,0.0003834893],"domain_scores_gemma":[0.9921846,0.0001997753,0.0004025577,0.0003086608,0.006390541,0.0005139575],"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":[0.00008024827,0.00001494838,0.0003566363,0.00008470645,0.000004518933,0.00001458649,0.00001411758,0.00007261756,0.000062279,0.0006832425,0.9865089,0.01210319],"study_design_scores_gemma":[0.00001498176,0.00001524533,0.00352279,0.00009784775,0.000006093438,0.00002472981,0.00006483305,0.00005983641,0.0001926298,0.0002361332,0.9957527,0.00001225551],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.005751331,0.008280627,0.002677154,0.01183525,0.008139799,0.000719121,0.4867058,0.004255129,0.4716357],"genre_scores_gemma":[0.01368694,0.005895895,0.003018167,0.001144791,0.0007269008,0.000833603,0.3273577,0.001768847,0.6455672],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1301623,"threshold_uncertainty_score":0.4354362,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01489186630687668,"score_gpt":0.2260028385166891,"score_spread":0.2111109722098125,"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."}}