{"id":"W4307771002","doi":"10.1002/ecy.3900","title":"Atlantic flower–invertebrate interactions: A data set of occurrence and frequency of floral visits","year":2022,"lang":"en","type":"article","venue":"Ecology","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministério da Ciência e Tecnologia; Fundação de Amparo à Pesquisa do Estado de São Paulo; Fundação de Amparo à Pesquisa e Inovação do Estado de Santa Catarina; Fundação de Amparo à Pesquisa do Estado de Minas Gerais; Fundação de Amparo à Pesquisa do Estado da Bahia; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Consejo Nacional de Investigaciones Científicas y Técnicas; Fundação de Apoio ao Desenvolvimento do Ensino, Ciência e Tecnologia do Estado de Mato Grosso do Sul; Bundesministerium für Bildung und Forschung; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Fundação de Amparo à Ciência e Tecnologia do Estado de Pernambuco; Vale Canada Limited","keywords":"Invertebrate; Ecology; Atlantic forest; Geography; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003196287,0.0002892533,0.0002745847,0.002286916,0.0004781945,0.0004692258,0.0003541562,0.0002954581,0.001556561],"category_scores_gemma":[0.00212201,0.0001702762,0.0003065837,0.002780134,0.0001823658,0.0004442016,0.0007372937,0.0003384778,0.000862261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005420104,"about_ca_system_score_gemma":0.001034694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06896982,"about_ca_topic_score_gemma":0.1367835,"domain_scores_codex":[0.9995925,0.00003352535,0.00006383713,0.00009252179,0.00016301,0.00005460217],"domain_scores_gemma":[0.9973093,0.0005509261,0.0008997234,0.0003030458,0.0005631276,0.0003737836],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002657172,0.00009453075,0.9310551,0.000648585,0.0001942373,0.0003511969,0.0007973915,0.001403729,0.007059095,0.0004503301,0.02003582,0.03764432],"study_design_scores_gemma":[0.00001112799,0.00003555881,0.9780778,0.00004838798,0.00005599534,0.0002052677,0.0002802901,0.00223111,0.0008675731,0.0001152056,0.01805329,0.00001846692],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.684422,0.0008702676,0.00130622,0.0001403581,0.00002089516,0.00008012049,0.3063631,0.0002181988,0.006578918],"genre_scores_gemma":[0.6167086,0.0005470922,0.004811424,0.00006683546,0.00002809074,0.0001877485,0.3756936,0.00005122054,0.001905446],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.06896982,"threshold_uncertainty_score":0.1371368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08094268273122145,"score_gpt":0.2616525165601156,"score_spread":0.1807098338288942,"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."}}