{"id":"W7029803383","doi":"","title":"Landforms and geoecological units of Pingo Canadian Landmark (Northwest Territories, Canada): a remote sensing-based approach","year":2024,"lang":"en","type":"dissertation","venue":"Repositório da Universidade de Lisboa (University of Lisbon)","topic":"Plant Diversity and Evolution","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Permafrost; Landform; Context (archaeology); Aerial photos; Vegetation (pathology); Aerial photography; Tundra; Satellite imagery; Digital elevation model","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":[],"consensus_categories":[],"category_scores_codex":[0.000154511,0.0002733701,0.0004704296,0.0001528843,0.0004494375,0.00004588765,0.0003708955,0.0005535476,0.00006063248],"category_scores_gemma":[0.00003292891,0.0001904312,0.0001448281,0.0006523646,0.0001265437,0.0001619458,0.0000726228,0.0004055467,0.00000150142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005573225,"about_ca_system_score_gemma":0.001132754,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9915987,"about_ca_topic_score_gemma":0.9985784,"domain_scores_codex":[0.9985359,0.00008788963,0.0001824923,0.0004486727,0.0003400123,0.0004050515],"domain_scores_gemma":[0.998901,0.0001207797,0.0002670921,0.0001091159,0.000252547,0.0003494294],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01849482,0.001581169,0.4001148,0.01781127,0.008707012,0.03702793,0.06187681,0.003293043,0.07860712,0.01162988,0.1718303,0.1890259],"study_design_scores_gemma":[0.001191394,0.0006736226,0.7079409,0.001276667,0.001375804,0.0001891804,0.04372001,0.007648293,0.0006073635,0.0001437818,0.2336852,0.00154773],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9877871,0.0001782858,0.00001123135,0.0004569762,0.0002121055,0.0002142128,0.00194262,0.00004699905,0.009150467],"genre_scores_gemma":[0.9868044,0.00009271004,0.0004203228,0.00004784383,0.00007939285,3.238097e-8,0.00880684,0.000003362323,0.0037451],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3078261,"threshold_uncertainty_score":0.7765558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00943077005458546,"score_gpt":0.1572572371040364,"score_spread":0.1478264670494509,"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."}}