{"id":"W2894858740","doi":"10.5380/biofix.v3i2.59563","title":"CLASSIFICAÇÃO SUPERVISIONADA DE COPAS DE ÁRVORES EM IMAGEM DE ALTA RESOLUÇÃO ESPACIAL","year":2018,"lang":"pt","type":"article","venue":"BIOFIX Scientific Journal","topic":"Forest ecology and management","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Discovery Air (Canada)","funders":"","keywords":"Physics; Humanities; Art","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":[0.0008033947,0.0007578466,0.0008223033,0.001230029,0.0003224645,0.001230385,0.0005872155,0.0008754448,0.00108442],"category_scores_gemma":[0.002393609,0.0003914236,0.0008232213,0.0008971572,0.0004309276,0.001074257,0.0005729082,0.0007598849,0.0004905075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004953376,"about_ca_system_score_gemma":0.0006128781,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004606431,"about_ca_topic_score_gemma":0.005652303,"domain_scores_codex":[0.9993981,0.00004624879,0.00002385904,0.0001818562,0.000265994,0.00008397095],"domain_scores_gemma":[0.9987974,0.0003495216,0.0001657814,0.00007779257,0.0005539681,0.00005549551],"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":[0.0007989009,0.0001433133,0.0254219,0.0008564198,0.0001553795,0.0003627287,0.0008033474,0.02791099,0.5263181,0.000669962,0.001982669,0.4145762],"study_design_scores_gemma":[0.0000498536,0.001212948,0.1916288,0.0002542069,0.0004501237,0.001091712,0.00178952,0.4663604,0.321431,0.001703499,0.01382827,0.0001997395],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7254263,0.002507319,0.2641689,0.0003642105,0.0002002931,0.000116013,0.0004744625,0.001888841,0.004853598],"genre_scores_gemma":[0.8921541,0.00122766,0.1034971,0.0001252612,0.00004786043,0.0000774112,0.0003594648,0.0001236893,0.002387571],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004606431,"threshold_uncertainty_score":0.009159207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01800215854005104,"score_gpt":0.2622403074021561,"score_spread":0.244238148862105,"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."}}