{"id":"W2131003206","doi":"10.5589/m03-059","title":"Coastline and mudbank monitoring in French Guiana: contributions of radar and optical satellite imagery","year":2004,"lang":"en","type":"article","venue":"Canadian Journal of Remote Sensing","topic":"Coastal and Marine Dynamics","field":"Earth and Planetary Sciences","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Remote sensing; Satellite; Radar; Satellite imagery; Geography; Meteorology; Geology; Cartography; Geodesy; Computer science; Telecommunications; Engineering; Aerospace engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002425405,0.00007343617,0.0001836031,0.0001956383,0.00006662669,0.00003538864,0.00003844555,0.0000420441,0.000004473377],"category_scores_gemma":[0.0001478091,0.00006723275,0.00002658474,0.0001397442,0.0001333216,0.0001109575,0.00000608145,0.0001832832,5.178811e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002172089,"about_ca_system_score_gemma":0.0003772229,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1017912,"about_ca_topic_score_gemma":0.350465,"domain_scores_codex":[0.9993553,0.00001921526,0.0002583947,0.00007734265,0.00008266429,0.0002071209],"domain_scores_gemma":[0.9993477,0.00006214018,0.00008394429,0.00005051488,0.00009460803,0.0003610221],"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":[0.00001069679,0.000001434504,0.04419305,0.00001417648,0.00001118263,0.0006533925,0.0002279122,0.0003367719,0.000328452,0.0000264644,0.000003469432,0.954193],"study_design_scores_gemma":[0.001319691,0.0001986858,0.9778704,0.000613936,0.00004572805,0.002738949,0.0005213679,0.007911987,0.0008130182,0.005478122,0.002251623,0.0002365088],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938084,0.002157903,0.002645626,0.0007171067,0.0002084305,0.00003664736,0.00002897287,0.000001666699,0.000395199],"genre_scores_gemma":[0.9663063,0.0003259475,0.03323798,0.00002242073,0.00008790106,5.312301e-10,0.000004723769,0.0000020833,0.00001258472],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9539565,"threshold_uncertainty_score":0.9041901,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008282081141748802,"score_gpt":0.2038955050574101,"score_spread":0.1956134239156613,"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."}}