{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002220663,0.00003601275,0.00006530788,0.00001800258,0.00008310362,0.000005274864,0.00007117416,0.00003621472,0.0003441885],"category_scores_gemma":[0.0001119832,0.00003160251,0.00002650159,0.0000560816,0.00009862254,0.0004425424,0.00008438446,0.00002452228,0.000003441431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002064859,"about_ca_system_score_gemma":0.00001032368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009236148,"about_ca_topic_score_gemma":0.00006323491,"domain_scores_codex":[0.9995661,0.00007036384,0.00007429343,0.00007435512,0.0001676594,0.00004727633],"domain_scores_gemma":[0.9995824,0.000212269,0.0001057944,0.00007051623,0.000009350854,0.00001965856],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002517964,0.00007429168,0.4858669,0.00006750482,0.00008544481,1.583604e-7,0.0178225,0.001483913,0.1917868,0.0004962437,0.001829103,0.3002354],"study_design_scores_gemma":[0.002673587,0.0004314178,0.262688,0.00009290584,0.0002085479,0.000002084075,0.003496246,0.02327714,0.6984762,0.001096346,0.007380312,0.0001771831],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944672,0.000006800395,0.00002290076,0.0001593703,0.00003913421,0.0001366939,0.000001478911,0.000005812936,0.005160593],"genre_scores_gemma":[0.9985983,0.000005494122,0.0008071233,0.00000692262,0.00001631744,1.897225e-7,0.000004881612,0.00000293118,0.000557791],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5066894,"threshold_uncertainty_score":0.3768623,"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."}}