{"id":"W6912667637","doi":"10.5281/zenodo.6784186","title":"Trustworthy Artificial Intelligence for Environmental Science (TAI4ES) Summer School 2022","year":2022,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Explainable Artificial Intelligence (XAI)","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Trustworthiness; Robustness (evolution); Citizen science; Climate science; Work (physics); Range (aeronautics)","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":[0.007365082,0.001294715,0.000762031,0.001056353,0.002499156,0.005523463,0.00133295,0.003197911,0.1716286],"category_scores_gemma":[0.004496992,0.0005346949,0.0008827795,0.0007666193,0.001421073,0.004810825,0.006290883,0.00588979,0.04286154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003122989,"about_ca_system_score_gemma":0.003753643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00296907,"about_ca_topic_score_gemma":0.009346865,"domain_scores_codex":[0.9980456,0.0005827477,0.00005667222,0.0003012738,0.0005906615,0.0004230472],"domain_scores_gemma":[0.9957668,0.0007744665,0.0001058864,0.0003994947,0.0009716664,0.0019817],"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":[0.00010306,0.0002068794,0.0002575825,0.0001190078,0.00001359372,0.00007538197,0.00021731,0.0005868727,0.000657814,0.03235793,0.9093176,0.05608703],"study_design_scores_gemma":[0.00003327061,0.00007176598,0.0008484731,0.0002081971,0.000005401149,0.00005582662,0.0002423747,0.001131473,0.0005176971,0.03108569,0.9657869,0.00001294395],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01092006,0.01439025,0.03507562,0.1757586,0.05220835,0.0007163403,0.002984341,0.002169949,0.7057765],"genre_scores_gemma":[0.0330615,0.006015051,0.01226146,0.00647479,0.01296843,0.0003920786,0.002257672,0.001832516,0.9247366],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1716286,"threshold_uncertainty_score":0.5741549,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05356369900166277,"score_gpt":0.2687462083050172,"score_spread":0.2151825093033544,"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."}}