{"id":"W2810248953","doi":"10.31025/2611-4135/2018.13655","title":"ENHANCED GEOMORPHIC DESIGN FOR RECLAMATION OF RURAL WASTE-SCAPES","year":2018,"lang":"en","type":"article","venue":"Detritus","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Landform; Land reclamation; Population; Geography; Natural (archaeology); Environmental resource management; Environmental planning; Environmental science; Archaeology; Cartography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000192371,0.00006167897,0.0001024535,0.00002235451,0.0000729065,0.00001133017,0.0001228511,0.00004479529,0.0006005719],"category_scores_gemma":[0.00002026693,0.00004831382,0.00003189762,0.0001347821,0.00001840589,0.0001447758,0.00003058738,0.00001759564,0.0002879144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002413957,"about_ca_system_score_gemma":0.000003909449,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001258154,"about_ca_topic_score_gemma":0.0002528408,"domain_scores_codex":[0.9994703,0.00002135084,0.0001538003,0.00009236913,0.0001140937,0.0001480627],"domain_scores_gemma":[0.9996823,0.00006075016,0.00008084539,0.0001267796,0.00001532254,0.00003399052],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006458015,0.0002838208,0.01471519,0.0003686574,0.00007679554,0.000001573037,0.003485161,0.003868459,0.9230589,0.0002192346,0.005691378,0.04758504],"study_design_scores_gemma":[0.0007863142,0.000467087,0.003723737,0.00005984685,0.00002080898,0.00000238207,0.0002908582,0.0131027,0.9787644,0.0009937001,0.001621007,0.0001672001],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9817988,0.00003557455,0.01624136,0.00004663076,0.0001598036,0.0002526319,0.00000623841,0.00001847846,0.001440528],"genre_scores_gemma":[0.9982898,0.00001264871,0.001459286,0.00003914207,0.000104284,0.00002389338,0.000007076134,0.000006130382,0.0000577067],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05570548,"threshold_uncertainty_score":0.6575841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01806211290751714,"score_gpt":0.2280637647046214,"score_spread":0.2100016517971043,"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."}}