{"id":"W2555844009","doi":"10.15273/pnsis.v48i2.6660","title":"Mapping the topography and land cover of Sable Island","year":2016,"lang":"en","type":"article","venue":"Proceedings of the Nova Scotian Institute of Science","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Parks Canada","funders":"","keywords":"Orthophoto; Aerial photography; Geomatics; Geography; Land cover; Remote sensing; Aerial photos; Aerial survey; Cartography; Mosaic; Lidar; Ground truth; Land use; Archaeology; Ecology; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004659559,0.00007264174,0.0001094644,0.00004751887,0.0001676879,0.00002222419,0.0006432828,0.00002291811,0.001012464],"category_scores_gemma":[0.000126713,0.00003387909,0.00004141746,0.0009172523,0.005756013,0.0005201512,0.0003898537,0.00003879032,0.00001029662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004947486,"about_ca_system_score_gemma":0.00001612823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001977767,"about_ca_topic_score_gemma":0.00007105564,"domain_scores_codex":[0.9990445,0.000001709291,0.000179913,0.0001777153,0.0004199177,0.000176283],"domain_scores_gemma":[0.9995806,0.00001515516,0.0002036112,0.00009844853,0.00006051804,0.00004162958],"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":[0.0000113645,0.00003228891,0.3447134,0.00004041889,0.00000521652,4.748969e-8,0.0005840067,0.000003189503,0.6461167,0.004021126,0.003541395,0.0009308745],"study_design_scores_gemma":[0.0004938269,0.00006076783,0.6457841,0.0002254491,0.00001285297,0.00001243778,0.00102327,0.00002370557,0.3307062,0.001043173,0.0204745,0.0001397497],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9704256,0.00002874216,0.00002041229,0.0009533131,0.0003329491,0.0001264573,0.00002260678,0.000004875691,0.02808502],"genre_scores_gemma":[0.9994108,0.00004922275,0.0001055167,0.00006093891,0.000008371713,0.000001471691,8.872438e-8,0.000002186022,0.0003613883],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3154106,"threshold_uncertainty_score":0.9999008,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02753815837382128,"score_gpt":0.2247311708395209,"score_spread":0.1971930124656996,"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."}}