{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.005251857,0.001157754,0.0007561414,0.00967261,0.0006747758,0.004662663,0.001137216,0.001000141,0.006338399],"category_scores_gemma":[0.02448228,0.0006008871,0.002033018,0.01617975,0.0007123472,0.002606731,0.001685242,0.00139047,0.001481957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001818322,"about_ca_system_score_gemma":0.001580369,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04594542,"about_ca_topic_score_gemma":0.03214021,"domain_scores_codex":[0.9968421,0.0005532476,0.0002636178,0.0009429507,0.001172166,0.000225986],"domain_scores_gemma":[0.9875368,0.005674704,0.00166286,0.001222126,0.003694243,0.0002091788],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005049105,0.0001236718,0.5709464,0.001800021,0.001039205,0.0005347499,0.003697616,0.09958373,0.008810757,0.01598804,0.01473334,0.2822376],"study_design_scores_gemma":[0.00003585985,0.0002419085,0.5917209,0.0006690808,0.0004985909,0.001308258,0.008744075,0.249041,0.0093442,0.01263568,0.1254918,0.0002685475],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6801859,0.009655005,0.2287173,0.001966718,0.0005922231,0.0002320162,0.02528709,0.004146511,0.04921731],"genre_scores_gemma":[0.9356324,0.001826235,0.0483808,0.0001166565,0.00009062181,0.000138771,0.006941679,0.0005885388,0.006284351],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9903274,"threshold_uncertainty_score":0.09135592,"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."}}