{"id":"W2802195938","doi":"10.7939/r3416t597","title":"Evaluation of Radar and Cameras as Tools for Automating the Monitoring of Waterbirds at Industrial Sites","year":2014,"lang":"en","type":"article","venue":"University of Alberta Library","topic":"Oil Spill Detection and Mitigation","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Remote sensing; Radar; Computer science; Geography; Telecommunications","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004942174,0.001168582,0.000503154,0.001313648,0.0004006815,0.0009805574,0.001893844,0.001493744,0.001077476],"category_scores_gemma":[0.0103129,0.0006083008,0.0005071026,0.0005597568,0.0005364059,0.001619733,0.0007673468,0.0004654351,0.0004360086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000814395,"about_ca_system_score_gemma":0.0004339886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004592037,"about_ca_topic_score_gemma":0.005434879,"domain_scores_codex":[0.9959663,0.0008592338,0.000263731,0.0008422267,0.001674136,0.0003943213],"domain_scores_gemma":[0.9885416,0.003995194,0.001118816,0.0005994589,0.005304306,0.0004405815],"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":[0.005348675,0.002330804,0.1635499,0.001163678,0.0004332348,0.0005762261,0.001108131,0.02687667,0.5231547,0.0004754965,0.001532082,0.2734503],"study_design_scores_gemma":[0.0004930824,0.03875386,0.2315938,0.0002043235,0.0007959063,0.00112174,0.00164946,0.1660981,0.5516617,0.0002458355,0.007156994,0.0002252793],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9673396,0.0006014752,0.02885336,0.0001443202,0.00008264707,0.000516832,0.0002670329,0.0005180326,0.001676644],"genre_scores_gemma":[0.9351194,0.0003113867,0.06220644,0.0001719729,0.00002374817,0.0002299767,0.0003627315,0.00005187819,0.00152253],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004942174,"threshold_uncertainty_score":0.02613705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02597519124421067,"score_gpt":0.2099608784000754,"score_spread":0.1839856871558647,"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."}}