{"id":"W2304292118","doi":"","title":"THE ADVANTAGE POSSIBILITIES FROM AIR LIDAR DATA AT LOCALITY ANALYSES","year":2008,"lang":"en","type":"article","venue":"DergiPark (Istanbul University)","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Locality; Quarter (Canadian coin); Remote sensing; Global Positioning System; Lidar; Satellite; Environmental science; Geography; Meteorology; Computer science; Telecommunications; Archaeology; Engineering","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.0001254354,0.0001392707,0.0001354158,0.0000308154,0.001311034,0.00002378159,0.0008968592,0.00005651501,0.0003497085],"category_scores_gemma":[0.00004537918,0.000115704,0.00006494309,0.0004055641,0.000853362,0.0002663184,0.0008272611,0.0001245285,0.0004408637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003322838,"about_ca_system_score_gemma":0.00003191568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003835557,"about_ca_topic_score_gemma":0.003549334,"domain_scores_codex":[0.9986826,0.0001228638,0.0001464449,0.0005095949,0.0002812153,0.0002572992],"domain_scores_gemma":[0.9980003,0.0002836317,0.00008667993,0.001492818,0.00001390083,0.0001227095],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00227353,0.001727,0.4561595,0.00005369914,0.001396567,0.003305193,0.02328625,0.01228497,0.04697654,0.009366644,0.4041483,0.03902184],"study_design_scores_gemma":[0.0002577199,0.00001602043,0.06575647,0.000004784069,0.00005358134,0.00001583953,0.003257859,0.001372681,0.001024309,0.0004517671,0.9275584,0.0002306271],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9083422,0.0001086179,0.002112499,0.0004943464,0.00006119471,0.0001206175,0.0001704514,0.00009637309,0.08849372],"genre_scores_gemma":[0.9735178,0.0002009382,0.001191926,0.00009828645,0.00003156021,1.029557e-7,0.0001336723,0.00001027037,0.0248154],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.52341,"threshold_uncertainty_score":0.9999892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05131705743507001,"score_gpt":0.2648197897401697,"score_spread":0.2135027323050997,"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."}}