{"id":"W7071759838","doi":"","title":"UNDERSTANDING THE BIODIVERSITY PATTERNS OF CRYPTOGAMS (BRYOPHYTES AND LICHENS) IN BOREAL FORESTS THROUGH REMOTE SENSING/COMPRENDRE LES PATRONS DE BIODIVERSITÉ DES CRYPTOGAMES (BRYOPHYTES ET LICHENS) DANS LES FORÊTS BORÉALES GRÂCE À LA TÉLÉDÉTECTION","year":2022,"lang":"en","type":"other","venue":"Depositum (Université du Québec en Abitibi-Témiscamingue)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biodiversity; Ecosystem; Boreal; Habitat; Taiga; Global biodiversity; Species diversity; Terrestrial ecosystem","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":[0.0003544732,0.0002554223,0.0001728574,0.001209947,0.0003050769,0.0007438074,0.0002396588,0.0002910832,0.0007854466],"category_scores_gemma":[0.0002600466,0.0001256266,0.0002312927,0.0008424974,0.0002177827,0.0008381395,0.0003518657,0.0002175392,0.0002984432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003518657,"about_ca_system_score_gemma":0.0002879172,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03432275,"about_ca_topic_score_gemma":0.0818205,"domain_scores_codex":[0.9998253,0.00002421553,0.00001127459,0.00005753423,0.000035837,0.00004572493],"domain_scores_gemma":[0.9997359,0.00002865856,0.0001013285,0.00001072323,0.00008385917,0.0000395716],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005585205,0.0000761637,0.95775,0.00008587612,0.00003461146,0.00008881836,0.0007236279,0.0002318855,0.005115348,0.00007734039,0.0003393414,0.0354212],"study_design_scores_gemma":[0.000001285511,0.00002592294,0.9971961,0.0000240036,0.00001531947,0.00007548674,0.0006975692,0.0007971563,0.000298313,0.00003103975,0.0008311095,0.000006765932],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971897,0.0006223882,0.0005609256,0.00006311451,0.000006887501,0.00001245381,0.0004946128,0.0000175914,0.00103244],"genre_scores_gemma":[0.9965379,0.0004286748,0.001519864,0.00004591167,0.00001240988,0.00001702782,0.0007911121,0.00000579222,0.0006413241],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9656773,"threshold_uncertainty_score":0.06824589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02200289835049763,"score_gpt":0.2170164927374392,"score_spread":0.1950135943869416,"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."}}