{"id":"W7005307856","doi":"","title":"Previsão sub-sazonal com o modelo global atmosférico do CPTEC/INPE: configuração, avaliação e investigação das fontes de previsibilidade para a América do Sul","year":2021,"lang":"pt","type":"dissertation","venue":"Biblioteca Digital da Memória Científica do INPE (National Institute for Space Research)","topic":"Biological and pharmacological studies of plants","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Climate change; Global warming; Air temperature; Scale (ratio); Trend analysis","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":[0.0004571756,0.0006765369,0.0003781509,0.0004046249,0.0004054555,0.001157474,0.0007248317,0.0005021325,0.001812005],"category_scores_gemma":[0.001154403,0.0003168055,0.0006609582,0.0005347023,0.0003135572,0.0009017092,0.0005369356,0.0007320581,0.0003577893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008706333,"about_ca_system_score_gemma":0.0008632603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03874025,"about_ca_topic_score_gemma":0.03440782,"domain_scores_codex":[0.9998504,0.00002388824,0.000007017922,0.00005760535,0.00003189763,0.00002909264],"domain_scores_gemma":[0.9995732,0.0001047639,0.00003323736,0.00008093615,0.0001438831,0.00006409676],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006530308,0.000276771,0.224096,0.0001759869,0.000274865,0.000349402,0.0005818954,0.6970022,0.03949552,0.001597976,0.002747269,0.03274909],"study_design_scores_gemma":[0.0001353966,0.0002455821,0.1372818,0.00003621562,0.0001834518,0.000119101,0.0006857293,0.8355177,0.01628195,0.001029887,0.008416058,0.00006706187],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9835103,0.00008088065,0.008299328,0.000166692,0.00002512196,0.00005853377,0.001605855,0.001014524,0.005238748],"genre_scores_gemma":[0.9920334,0.00005684893,0.005709598,0.00002606798,0.000004177688,0.00004050623,0.001224976,0.0001091711,0.0007951549],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03874025,"threshold_uncertainty_score":0.07702953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1577892021907566,"score_gpt":0.4275014365264251,"score_spread":0.2697122343356685,"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."}}