{"id":"W2126491580","doi":"10.1111/j.1744-7429.2003.tb00273.x","title":"Remote Sensing Research Priorities in Tropical Dry Forest Environments","year":2003,"lang":"en","type":"article","venue":"Biotropica","topic":"Remote Sensing in Agriculture","field":"Environmental Science","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Geographic Society; Tinker Foundation","keywords":"Tropical and subtropical dry broadleaf forests; Tropical forest; Geography; Remote sensing; Tropics; Tropical rain forest; Rainforest; Agroforestry; Environmental science; Environmental resource management; Forestry; Ecology; Biology","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.004401218,0.0005049641,0.0006227336,0.002229753,0.0009694084,0.003009676,0.0008257802,0.0009948892,0.004932433],"category_scores_gemma":[0.002727185,0.0002039873,0.000385015,0.002814238,0.0009205763,0.002160685,0.001822119,0.001036241,0.0005147699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001749398,"about_ca_system_score_gemma":0.006547647,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01276485,"about_ca_topic_score_gemma":0.0165266,"domain_scores_codex":[0.9989915,0.0002625479,0.0000645025,0.000117867,0.0001784773,0.0003849705],"domain_scores_gemma":[0.9935361,0.001943789,0.0007215613,0.0002004721,0.001795533,0.001802564],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0009170963,0.0003875723,0.1657709,0.009929321,0.0001864316,0.002152776,0.003280814,0.004839928,0.02685427,0.04217364,0.04911708,0.6943902],"study_design_scores_gemma":[0.0001467155,0.001313092,0.407165,0.005773731,0.0004127783,0.002797247,0.02763414,0.008131727,0.008852399,0.03199823,0.5055752,0.0001998],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.2663883,0.5454813,0.009515933,0.1082943,0.00310493,0.0003668217,0.00224557,0.0002339427,0.06436898],"genre_scores_gemma":[0.7085748,0.2444417,0.02471513,0.007164419,0.003803978,0.0001807308,0.002141743,0.00006392404,0.00891345],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01276485,"threshold_uncertainty_score":0.02538109,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02718964830136278,"score_gpt":0.2718354620204267,"score_spread":0.2446458137190639,"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."}}