{"id":"W4376650575","doi":"10.1016/j.ejsobi.2023.103496","title":"Collembola biocenoses (Arthropoda: Hexapoda) in the archipelago of Fernando de Noronha, Brazil","year":2023,"lang":"en","type":"article","venue":"European Journal of Soil Biology","topic":"Collembola Taxonomy and Ecology Studies","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Algoma University","funders":"Instituto Chico Mendes de Conservação da Biodiversidade; Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Ecology; Endemism; Archipelago; Species richness; Fauna; Habitat; Generalist and specialist species; Geography; Biodiversity; Species diversity; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00203781,0.0001204149,0.0003164681,0.00005621566,0.0001833771,0.00001393051,0.0005184052,0.00004334704,0.00007609012],"category_scores_gemma":[0.0002679177,0.00004120973,0.0001441657,0.0005112322,0.0003080108,0.00004538316,0.0001317714,0.0002428616,0.0000410373],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001548148,"about_ca_system_score_gemma":0.00002607415,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007005723,"about_ca_topic_score_gemma":0.001325666,"domain_scores_codex":[0.9980034,0.0009544638,0.0004901408,0.0001350099,0.00009051066,0.0003265038],"domain_scores_gemma":[0.9987609,0.0007428848,0.0003181073,0.00005481984,0.000072766,0.00005046439],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004597807,0.0003769607,0.7054429,0.00001842863,0.0001754843,0.0004139111,0.002784713,0.0001255699,0.02333248,0.000890417,0.0140707,0.2519086],"study_design_scores_gemma":[0.0004849244,0.001360582,0.9640893,0.00002674844,0.00001463394,0.00008171001,0.003117194,0.000006225492,0.0002855574,0.000370433,0.03006808,0.00009467021],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909062,0.0008527564,0.000001616432,0.00441256,0.000223192,0.00008284449,0.00002381375,0.00001171939,0.003485237],"genre_scores_gemma":[0.9981933,0.001021113,0.00003501944,0.0003865116,0.0002929684,0.000001997156,0.000005017754,0.000001216483,0.00006290499],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2586463,"threshold_uncertainty_score":0.1680484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02676413333602158,"score_gpt":0.2427382932071944,"score_spread":0.2159741598711729,"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."}}