{"id":"W4392235849","doi":"10.1007/s41207-023-00456-1","title":"Assessment of coastal changes following the construction of a groyne using satellite and drone imagery along the Mediterranean coast of northwest Tunisia (Rafraf, Bizerte)","year":2024,"lang":"en","type":"article","venue":"Euro-Mediterranean Journal for Environmental Integration","topic":"Coastal and Marine Dynamics","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Coastal erosion; Geology; Digital elevation model; Rip current; Erosion; Aerial photography; Drone; Photogrammetry; Satellite imagery; Hydrology (agriculture); Remote sensing; Oceanography; Shore; Geomorphology; Geotechnical engineering","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":[0.0008677571,0.0001833773,0.0002551853,0.0001333837,0.0002114563,0.00007114984,0.0001593265,0.00004639824,0.0001059559],"category_scores_gemma":[0.00002927875,0.0001070226,0.0001668473,0.000135723,0.0004536667,0.0003241783,0.00003739191,0.0002754792,5.285091e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001462874,"about_ca_system_score_gemma":0.00003939542,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006618397,"about_ca_topic_score_gemma":0.006532478,"domain_scores_codex":[0.9985427,0.000152056,0.0005310366,0.0001784352,0.0004153263,0.000180449],"domain_scores_gemma":[0.9991311,0.0003318155,0.0003153539,0.0001282834,0.00002129448,0.00007216237],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001924274,0.00006541326,0.08202764,0.0001862144,0.0002484607,0.0000402999,0.004055567,0.0007664647,0.08758742,0.00008869416,0.00004279166,0.8246986],"study_design_scores_gemma":[0.001170035,0.00157408,0.5830473,0.0008494117,0.0005641344,0.001646592,0.01490041,0.389342,0.004615889,0.0006800896,0.001198129,0.0004118949],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894483,0.0007658807,0.006873088,0.0003019342,0.001684787,0.0003061872,0.0005203655,0.000007992197,0.00009146071],"genre_scores_gemma":[0.9970624,0.0006301787,0.001579362,0.000026864,0.0002562537,0.000001522147,0.0003982074,0.0000108345,0.00003436514],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8242867,"threshold_uncertainty_score":0.4364255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02153461946603079,"score_gpt":0.2515789359335186,"score_spread":0.2300443164674878,"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."}}