{"id":"W2076548612","doi":"10.1186/1472-6785-10-22","title":"radR: an open-source platform for acquiring and analysing data on biological targets observed by surveillance radar","year":2010,"lang":"en","type":"article","venue":"BMC Ecology","topic":"Avian ecology and behavior","field":"Environmental Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; Acadia University","funders":"Natural Resources Canada; Natural Sciences and Engineering Research Council of Canada; Brock University; Canadian Natural Resources Limited","keywords":"Radar; Computer science; Software; Data acquisition; Source code; Component (thermodynamics); Data processing; Secondary surveillance radar; Real-time computing; Remote sensing; Data mining; Database; Telecommunications; Geography; Programming language","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.00231099,0.00149351,0.001057351,0.002128545,0.0004577359,0.001205385,0.003750418,0.0009345934,0.03461168],"category_scores_gemma":[0.005137132,0.0007978628,0.001220022,0.001573224,0.0004727801,0.001640071,0.001860556,0.001359849,0.0239007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003614377,"about_ca_system_score_gemma":0.0009110799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001667185,"about_ca_topic_score_gemma":0.001557996,"domain_scores_codex":[0.99874,0.0001475755,0.0001599552,0.0003473899,0.0005028135,0.0001023665],"domain_scores_gemma":[0.9972459,0.001149388,0.0003922578,0.0005360123,0.000533957,0.0001424489],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001632052,0.0004401364,0.0062883,0.002254003,0.0004543274,0.0009602659,0.0005803038,0.0150745,0.05949125,0.007727486,0.3388491,0.5662483],"study_design_scores_gemma":[0.001652562,0.0006035189,0.02484181,0.0004952115,0.0003658103,0.002353304,0.0001734975,0.2506846,0.1475546,0.01697519,0.5535277,0.0007722872],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.006731014,0.0002308433,0.4857104,0.0001676698,0.0001182007,0.0005978728,0.01918984,0.48312,0.004134196],"genre_scores_gemma":[0.0456818,0.0003101499,0.8431039,0.000382929,0.0001403703,0.002257974,0.05502496,0.04289424,0.0102037],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.9962496,"threshold_uncertainty_score":0.1157876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09671611915313542,"score_gpt":0.3088678081320784,"score_spread":0.212151688978943,"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."}}