{"id":"W4398769643","doi":"10.1139/cjb-2024-0013","title":"Contributions of leaflet anatomy to the distinction of two species of <i>Ceiba</i> Mill. (Malvaceae—Bombacoideae): <i>Ceiba pubiflora</i> (A. St.-Hil.) K. Schum. and <i>Ceiba speciosa</i> (A. St.-Hil.) Ravenna","year":2024,"lang":"en","type":"article","venue":"Botany","topic":"Plant Diversity and Evolution","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fundação de Apoio ao Desenvolvimento do Ensino, Ciência e Tecnologia do Estado de Mato Grosso do Sul; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Universidade Federal de Mato Grosso do Sul; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Ceiba; Biology; Malvaceae; Leaflet (botany); Botany; Bark (sound); Abutilon; Acanthaceae; Traditional medicine; Weed; Ecology; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.000123495,0.0002766655,0.0001514687,0.00105878,0.0003375898,0.0005843841,0.0002479136,0.0003368826,0.0007090194],"category_scores_gemma":[0.0001877471,0.0002206518,0.0001833715,0.0003165338,0.0004065002,0.000502881,0.0004771415,0.0004507274,0.0003050882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002343431,"about_ca_system_score_gemma":0.000140802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001991102,"about_ca_topic_score_gemma":0.004673859,"domain_scores_codex":[0.9998986,0.00001195665,0.00000962297,0.00003791814,0.00001699024,0.00002480565],"domain_scores_gemma":[0.9997919,0.00004206044,0.00005971145,0.00001712561,0.00004237796,0.00004671842],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002180254,0.0000359487,0.0545446,0.0001599149,0.00002527889,0.0005029705,0.0006213162,0.0001001064,0.9316386,0.0001954912,0.00005962747,0.01189807],"study_design_scores_gemma":[0.000008082317,0.000126224,0.970099,0.00001771069,0.00003579732,0.002443908,0.0006143788,0.0004977214,0.0240308,0.00009729728,0.00201231,0.00001663037],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957897,0.0009954553,0.0008002447,0.000022043,0.000009207154,0.00001401744,0.0001324463,0.00002046046,0.002216404],"genre_scores_gemma":[0.9967455,0.0003466728,0.001955474,0.00004681101,0.00000944676,0.00001005663,0.0003370417,0.000007193374,0.0005416554],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001991102,"threshold_uncertainty_score":0.003959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01167445003517889,"score_gpt":0.2199729545446664,"score_spread":0.2082985045094875,"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."}}