{"id":"W2570774686","doi":"10.71781/20076","title":"Systématique et biogéographie du groupe Caesalpinia (famille Leguminosae)","year":2015,"lang":"fr","type":"dissertation","venue":"Papyrus : Institutional Repository (Université de Montréal)","topic":"Biological Stains and Phytochemicals","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Caesalpinia; Geography; Traditional medicine; Medicine","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","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0005766395,0.0008072361,0.001015623,0.0003720123,0.003633771,0.00006798014,0.0005100334,0.001493857,0.0001779931],"category_scores_gemma":[0.0002785748,0.000779096,0.0006727526,0.0007087765,0.0007185718,0.0002703225,0.0002441718,0.001038742,0.0001981119],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005775584,"about_ca_system_score_gemma":0.002629574,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05110738,"about_ca_topic_score_gemma":0.005519751,"domain_scores_codex":[0.9961427,0.0003685982,0.0007610645,0.0009752316,0.0009029316,0.0008494936],"domain_scores_gemma":[0.9967185,0.0002635756,0.0005636308,0.0005753998,0.0007904996,0.00108843],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00988928,0.003800063,0.1827794,0.003883394,0.00438489,0.02108831,0.09692237,0.0008800469,0.3260007,0.2950785,0.03632536,0.01896772],"study_design_scores_gemma":[0.00742367,0.001911772,0.3465012,0.004178094,0.002661347,0.004427232,0.07779549,0.001585755,0.02627162,0.003588451,0.5205699,0.003085525],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8440987,0.07033888,0.0001599069,0.001107122,0.002648766,0.0009614287,0.0002862822,0.000205126,0.08019382],"genre_scores_gemma":[0.961939,0.004725025,0.0006679429,0.0006115189,0.0009381885,0.00007190172,0.002954176,0.00006023019,0.02803204],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4842445,"threshold_uncertainty_score":0.9998024,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008278664909956223,"score_gpt":0.2042300393077751,"score_spread":0.1959513743978189,"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."}}