{"id":"W7036900199","doi":"","title":"Detection and validation of forest disturbances using RADARSAT-2 data","year":2017,"lang":"en","type":"article","venue":"Biblioteca Digital da Memória Científica do INPE (National Institute for Space Research)","topic":"Neuroscience and Music Perception","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nucleofection; Hyporeflexia; Proteogenomics; Dysgeusia; TSG101; Fusible alloy","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":[0.001364699,0.000707463,0.0003880887,0.001836725,0.0005942128,0.0007200622,0.0006832445,0.0002834988,0.0005958774],"category_scores_gemma":[0.001660567,0.0002428861,0.0003362459,0.001238317,0.0003906608,0.000386004,0.0004781965,0.0003805662,0.0004634278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001061659,"about_ca_system_score_gemma":0.00192338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2404307,"about_ca_topic_score_gemma":0.3077647,"domain_scores_codex":[0.9990335,0.00007428186,0.00005302002,0.000255967,0.0003780397,0.0002052963],"domain_scores_gemma":[0.9987059,0.00012871,0.00010328,0.0001694516,0.0007884527,0.0001042968],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001467069,0.0009227706,0.5457705,0.0003228317,0.0003108587,0.0006736554,0.0008790188,0.09538858,0.112279,0.0007444904,0.006377175,0.2348639],"study_design_scores_gemma":[0.00009066822,0.000157228,0.757693,0.00003770858,0.00006375681,0.0001033213,0.0003230308,0.2065561,0.03026815,0.0001188997,0.004542579,0.00004561407],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9780257,0.0001268036,0.01406739,0.00003285352,0.00003550758,0.0002732935,0.00356168,0.0009784749,0.002898225],"genre_scores_gemma":[0.9551729,0.000101702,0.03086065,0.00005113817,0.00001037928,0.0001509402,0.01216419,0.00009375362,0.001394449],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2404307,"threshold_uncertainty_score":0.4780625,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2849596026771701,"score_gpt":0.4215675688492083,"score_spread":0.1366079661720382,"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."}}