{"id":"W2346893252","doi":"10.13140/rg.2.2.16890.29128","title":"ANALYSE DU RÔLE DES COMPOSANTES DE LA DIVERSITÉ SUR LE FONCTIONNEMENT DES ÉCOSYSTÈMES MARINS BENTHIQUES INTERTIDAUX","year":2015,"lang":"fr","type":"article","venue":"Constellation (Université du Québec à Chicoutimi)","topic":"Coastal and Marine Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies; Université du Québec à Chicoutimi","keywords":"Forestry; Geography","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":[0.0002688235,0.0002972163,0.0002689294,0.0004626607,0.0002576844,0.0006231617,0.0001603095,0.0002174785,0.0009399824],"category_scores_gemma":[0.0002790095,0.0001477111,0.0004497956,0.0006436838,0.0001364509,0.0003302651,0.00018118,0.0002468193,0.0002122683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004532751,"about_ca_system_score_gemma":0.0002658326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0191067,"about_ca_topic_score_gemma":0.03410059,"domain_scores_codex":[0.9998903,0.00002083108,0.000005377697,0.00003122786,0.00003573306,0.00001643096],"domain_scores_gemma":[0.9997103,0.0000759952,0.00004918791,0.00001977666,0.000112273,0.00003250335],"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":[0.0005028553,0.0001375449,0.4604805,0.0003997888,0.0004938465,0.0004122436,0.0005620043,0.012657,0.4683283,0.000461918,0.000195008,0.05536909],"study_design_scores_gemma":[0.000006207619,0.000297022,0.9561403,0.00001944005,0.0001716562,0.0001311598,0.0003933992,0.01329912,0.02678073,0.0002233842,0.002519113,0.00001847808],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975389,0.0004624826,0.0009035561,0.00002257769,0.000002170937,0.00000526111,0.0001539516,0.00001206124,0.0008990298],"genre_scores_gemma":[0.9969832,0.0004111828,0.001030727,0.00001024079,0.00000188671,0.000006786405,0.0002691767,0.000007432766,0.001279397],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0191067,"threshold_uncertainty_score":0.03799093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01412379735222768,"score_gpt":0.185797984467832,"score_spread":0.1716741871156043,"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."}}