{"id":"W7015721603","doi":"","title":"Uma metodologia para a caracterizaÃ§Ã£o rÃ¡pida da vegetaÃ§Ã£o em levantamentos terrestres para fins de interpretaÃ§Ã£o de imagens de sensoriamento remoto","year":2001,"lang":"en","type":"article","venue":"Biblioteca Digital da Memória Científica do INPE (National Institute for Space Research)","topic":"Remote Sensing in Agriculture","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Field (mathematics); Ecological succession; Order (exchange); Signature (topology); Work (physics); Quarter (Canadian coin)","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":[0.0005963342,0.0004442254,0.0005876698,0.001367223,0.0003752207,0.0006120696,0.0004161232,0.0006121511,0.002936247],"category_scores_gemma":[0.001226736,0.0002928662,0.0005226341,0.001249035,0.0002602247,0.0004235289,0.0002564488,0.0002978775,0.0007884181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002059406,"about_ca_system_score_gemma":0.0004192489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00171749,"about_ca_topic_score_gemma":0.0050208,"domain_scores_codex":[0.9997869,0.00004546858,0.00001181009,0.00007197569,0.00005979503,0.00002397279],"domain_scores_gemma":[0.9994505,0.0001683257,0.00006874332,0.0001051735,0.0001810672,0.00002613849],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004227481,0.0001984185,0.03682552,0.0005049101,0.0001050698,0.0001114096,0.0003198828,0.00468944,0.5360405,0.001043196,0.001085818,0.4186531],"study_design_scores_gemma":[0.0001891174,0.001340491,0.240865,0.0002324355,0.0006677269,0.002509184,0.001312912,0.24424,0.4746855,0.004023586,0.02971445,0.0002196842],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2386802,0.0007498899,0.7515963,0.0001532803,0.00007135839,0.0003440367,0.001765843,0.002282704,0.004356375],"genre_scores_gemma":[0.42338,0.0004499866,0.5727971,0.00005922433,0.00001967839,0.0002289944,0.0005873254,0.0001193381,0.002358464],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002936247,"threshold_uncertainty_score":0.009822726,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08606446617597661,"score_gpt":0.3598803475859402,"score_spread":0.2738158814099635,"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."}}