{"id":"W4283831077","doi":"10.1002/nsg.12227","title":"Diffraction pattern recognition using deep semantic segmentation","year":2022,"lang":"en","type":"article","venue":"Near Surface Geophysics","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Tetra Tech (Canada)","funders":"European Commission","keywords":"Diffraction; Geology; Seismology; Computer science; Regional geology; Segmentation; Artificial intelligence; Optics; Tectonics; Physics; Volcanism","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":[0.0003428923,0.0008745864,0.0008469122,0.00205615,0.0002695313,0.001112037,0.000874566,0.0009947143,0.001600047],"category_scores_gemma":[0.0006897995,0.0003460267,0.001091179,0.001328311,0.0006000532,0.0009925172,0.0009646703,0.0006746629,0.0006993595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008236525,"about_ca_system_score_gemma":0.0009135925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007538281,"about_ca_topic_score_gemma":0.007571492,"domain_scores_codex":[0.9996424,0.0000371521,0.00002623827,0.000126877,0.00009359101,0.00007388579],"domain_scores_gemma":[0.9996501,0.00008248437,0.00005123648,0.00006748242,0.0001169934,0.00003166861],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004005486,0.0002167919,0.002748339,0.0001389788,0.0001037019,0.0002364812,0.0001341417,0.4522295,0.0501776,0.006570701,0.003572396,0.4834709],"study_design_scores_gemma":[0.000004964155,0.00001733959,0.0003085802,0.000003697338,0.000005932041,0.00002005624,0.00001325794,0.9918895,0.00476165,0.002527345,0.000442333,0.000005272737],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1029907,0.0002276875,0.8884482,0.0002371154,0.00006986954,0.0000897438,0.0006050493,0.004809324,0.002522198],"genre_scores_gemma":[0.706589,0.0001549052,0.2872797,0.0001514447,0.00004235668,0.00007598673,0.002611516,0.0002186097,0.00287644],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007538281,"threshold_uncertainty_score":0.01498884,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02518842526094029,"score_gpt":0.2558636388585259,"score_spread":0.2306752135975856,"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."}}