{"id":"W6981208750","doi":"","title":"Documenting the tropical natural world in the account of Antonio Pigafetta","year":2020,"lang":"en","type":"article","venue":"Revista de Estudos Anglo-Portugueses/Journal of Anglo-Portuguese Studies","topic":"American Environmental and Regional History","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fundação para a Ciência e a Tecnologia; Federation for the Humanities and Social Sciences","keywords":"Natural (archaeology); Amazon rainforest; Indigenous; Tropics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.001456459,0.0004692489,0.0009850941,0.0001119156,0.0002828845,0.00003916844,0.001295833,0.00006941984,0.0002267409],"category_scores_gemma":[0.000363779,0.0002575581,0.0005220346,0.001090956,0.003127851,0.0004441723,0.0005601974,0.0008885829,0.00003626612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005082122,"about_ca_system_score_gemma":0.00009384229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000105873,"about_ca_topic_score_gemma":0.00009438292,"domain_scores_codex":[0.9955136,0.0003672373,0.001483582,0.0004571946,0.001548579,0.0006297762],"domain_scores_gemma":[0.9973587,0.0004340035,0.001462011,0.0004539618,0.0000752154,0.0002161416],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007528007,0.001278401,0.8253461,0.0003500603,0.001090156,0.002985793,0.03553407,0.0008971396,0.003618842,0.001768634,0.1008216,0.02555633],"study_design_scores_gemma":[0.001094677,0.0007156719,0.8271041,0.0003528101,0.0003657585,0.0005225852,0.02612142,0.0001132066,0.0001277221,0.0001770071,0.1427267,0.0005783574],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9360734,0.05100061,0.00005694722,0.009038454,0.0003580515,0.0006166379,0.00001419118,0.0000252036,0.002816499],"genre_scores_gemma":[0.9900998,0.005481496,0.0004233935,0.003002731,0.0005070668,0.00001932435,0.000004242132,0.00003656578,0.0004253237],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05402645,"threshold_uncertainty_score":0.9999877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02234727651501594,"score_gpt":0.2659047743691728,"score_spread":0.2435574978541568,"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."}}