{"id":"W7115392162","doi":"","title":"Quantification of braided river channel change using archival digital image analysis","year":2010,"lang":"en","type":"article","venue":"University of Brighton Repository (University of Brighton)","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Photogrammetry; Digital elevation model; Elevation (ballistics); Channel (broadcasting); Topographic map (neuroanatomy); Change detection; Calibration; Scale (ratio)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001378716,0.0001617166,0.0004159691,0.0002515796,0.0003614589,0.000007241514,0.0005790044,0.0001524449,0.000919681],"category_scores_gemma":[0.000004661917,0.0002040429,0.0003286789,0.0005922848,0.001995878,0.001136529,0.0001461879,0.0001940108,0.00002439849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003990305,"about_ca_system_score_gemma":0.00003560735,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007121967,"about_ca_topic_score_gemma":0.001047013,"domain_scores_codex":[0.9987538,0.00005320738,0.0001953584,0.0004276101,0.000351086,0.0002189453],"domain_scores_gemma":[0.9988799,0.00005362252,0.0004606569,0.0003987785,0.00007617698,0.000130885],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001148348,0.001472373,0.3293821,0.0002472255,0.00176039,0.000424652,0.01987754,0.002828953,0.6394534,0.000801863,0.0002899619,0.002313205],"study_design_scores_gemma":[0.00158167,0.0002142405,0.914874,0.00005316914,0.00224895,0.0000329385,0.001441878,0.01963642,0.05604566,0.0003818625,0.002870528,0.0006186911],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9837862,0.000009786928,0.0109436,0.00008241537,0.00009365698,0.0001630876,0.0000658617,0.00003250349,0.004822848],"genre_scores_gemma":[0.9966941,0.00001314704,0.002122491,0.000005925615,0.00001505976,2.170542e-8,0.00005236043,0.00000696046,0.001089882],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5854919,"threshold_uncertainty_score":0.9999936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01153878688808106,"score_gpt":0.1833561437346887,"score_spread":0.1718173568466076,"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."}}