{"id":"W2125781982","doi":"10.1016/j.rse.2006.09.022","title":"Modelling and mapping potential hooded warbler (Wilsonia citrina) habitat using remotely sensed imagery","year":2006,"lang":"en","type":"article","venue":"Remote Sensing of Environment","topic":"Remote Sensing in Agriculture","field":"Environmental Science","cited_by":33,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"Bird Studies Canada; Ministry of Natural Resources; Natural Sciences and Engineering Research Council of Canada; National Research Centre","keywords":"Nest (protein structural motif); Remote sensing; Habitat; Environmental science; Vegetation (pathology); Geography; Warbler; Cartography; Ecology; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003888388,0.0004976385,0.0005368053,0.0001095035,0.0003150798,0.0000824821,0.0001679832,0.0002530084,0.00004507546],"category_scores_gemma":[0.0000206345,0.0004727892,0.0001916875,0.0002312009,0.0005295768,0.0002245622,0.0003698112,0.0003540519,0.00007039814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004755866,"about_ca_system_score_gemma":0.00001386414,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002531165,"about_ca_topic_score_gemma":0.00001630784,"domain_scores_codex":[0.9966112,0.0001706893,0.0006905128,0.0008981401,0.0009075443,0.0007218478],"domain_scores_gemma":[0.9987238,0.00006937169,0.000419569,0.0006002354,0.00001572481,0.0001712823],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000214906,0.00003194493,0.0001666053,0.0000217933,0.00001859739,0.00009663857,0.0001141493,0.5249153,0.4622731,0.000001737287,0.0001783864,0.0121602],"study_design_scores_gemma":[0.0006226456,0.00004358464,0.01090465,0.0001724711,0.00009259831,0.0005008204,0.0001000966,0.9648951,0.01976308,0.001201119,0.001078211,0.0006256591],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7823651,0.0001241889,0.2151444,0.0002679154,0.0001514972,0.0003125715,0.000003634476,0.00006732214,0.001563387],"genre_scores_gemma":[0.6560981,0.00008393216,0.3432147,0.00005992615,0.0001298012,1.745289e-8,0.00000966094,0.00005357573,0.0003502352],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.44251,"threshold_uncertainty_score":0.9997724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01268181474295762,"score_gpt":0.1898647756994511,"score_spread":0.1771829609564935,"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."}}