{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007421757,0.0001142738,0.0001116895,0.00001234674,0.0003198519,0.00004428199,0.00007230863,0.00002439056,0.0001308505],"category_scores_gemma":[0.000003383083,0.000139818,0.00005718894,0.0002872341,0.00001526669,0.0001353907,0.00004068293,0.0002138222,0.00014522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009841936,"about_ca_system_score_gemma":0.00000885096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001203341,"about_ca_topic_score_gemma":0.000003462448,"domain_scores_codex":[0.9992728,0.00005861241,0.0001394346,0.0001595673,0.000190032,0.0001795579],"domain_scores_gemma":[0.9996691,0.00004852708,0.00004485176,0.0001650178,0.00003165,0.00004083535],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000004843286,0.000127434,0.0004102097,0.00006455847,0.00003998469,0.000002183375,0.000528415,0.3902024,0.2908288,0.00002827035,0.00006521504,0.3176977],"study_design_scores_gemma":[0.0002408013,0.0000393565,0.009612402,0.000007645199,0.00005236257,0.000004027683,0.0004150736,0.9826593,0.003169743,0.00285014,0.0006627003,0.0002864118],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9301485,0.0000253208,0.06895896,0.00003315262,0.0003022315,0.0001872246,0.00003076555,0.0001842726,0.0001295645],"genre_scores_gemma":[0.9809093,0.00000902336,0.01875595,0.00004949998,0.0000901099,0.00003921155,0.00009399338,0.00003828087,0.00001459247],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5924569,"threshold_uncertainty_score":0.5701612,"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."}}