{"id":"W1883304826","doi":"","title":"ANÁLISE CIENCIOMÉTRICA TEMPORAL COM REFERÊNCIA AOS MODELOS DIGITAIS DE ELEVAÇÃO – MDE: IMPORTÂNCIA E TENDÊNCIAS","year":2012,"lang":"pt","type":"article","venue":"Revista de Geografia, Meio Ambiente e Ensino","topic":"Geography and Environmental Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Philosophy","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.00241483,0.001520749,0.001432929,0.0004131012,0.001598843,0.0004797626,0.001306027,0.000658742,0.001988068],"category_scores_gemma":[0.0002950907,0.001517315,0.001156086,0.002102132,0.001564012,0.001554623,0.001711232,0.001219618,0.002052856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001973071,"about_ca_system_score_gemma":0.0001169374,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002451173,"about_ca_topic_score_gemma":0.0001331239,"domain_scores_codex":[0.9895389,0.0005999535,0.001621543,0.001727399,0.002020501,0.004491715],"domain_scores_gemma":[0.9950186,0.0001963271,0.0008809794,0.001745808,0.00006204933,0.002096213],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001439391,0.001634891,0.9525751,0.0001594021,0.0002718955,0.0001435179,0.002097143,0.0001879825,0.002089749,0.0001137511,0.02354201,0.01704058],"study_design_scores_gemma":[0.001290623,0.0004533353,0.808394,0.0002639918,0.0006746871,0.0002787937,0.001686904,0.001625486,0.0008028722,0.000145706,0.1823453,0.002038339],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9739477,0.01569097,0.001364777,0.0006834081,0.0006949229,0.001514087,0.0005070295,0.0003105553,0.005286555],"genre_scores_gemma":[0.990688,0.003229461,0.001320487,0.001408565,0.0004030839,0.0001014159,0.0001789433,0.0001719887,0.002498014],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1588033,"threshold_uncertainty_score":0.9997541,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01743565459832964,"score_gpt":0.2374826651972292,"score_spread":0.2200470105988995,"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."}}