{"id":"W4379800738","doi":"10.20944/preprints202306.0526.v1","title":"Effects of Forest Fragmentation on Connectivity and Genetic Diversity in an Endemic and an Invasive Rodent in Northwestern Madagascar","year":2023,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Animal Ecology and Behavior Studies","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Biological dispersal; Ecology; Genetic diversity; Habitat fragmentation; Biology; Fragmentation (computing); Inbreeding; Habitat; Endemism; Habitat destruction; Geography; Population","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002112852,0.00015488,0.0001470073,0.00071693,0.0003754357,0.000366068,0.0001951111,0.0001349903,0.0007786764],"category_scores_gemma":[0.0007367223,0.00008770232,0.0001223345,0.0005048857,0.0005291639,0.0001704554,0.000493355,0.0001432384,0.00003326346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002470679,"about_ca_system_score_gemma":0.0001088622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01424211,"about_ca_topic_score_gemma":0.03129405,"domain_scores_codex":[0.9998462,0.00005282055,0.00000948187,0.00004193055,0.00001505393,0.00003443323],"domain_scores_gemma":[0.999569,0.0001106246,0.0001999857,0.00002674144,0.00002042572,0.00007330751],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001229768,0.00003353893,0.9912743,0.00001319964,0.00004762017,0.0003301976,0.001368175,0.0001585279,0.003276147,0.00004875033,0.00004527351,0.003281374],"study_design_scores_gemma":[0.000001564378,0.00001643309,0.9995165,0.000001753908,0.000005030974,0.00005335906,0.0002334149,0.0001107732,0.00002236241,0.00000696502,0.00003083271,9.790936e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9999278,0.00001085235,0.000005345363,0.000004235068,1.351066e-7,4.040076e-7,0.00000870412,4.815788e-7,0.00004211786],"genre_scores_gemma":[0.9999208,0.00001035924,0.0000212658,0.000003001915,4.735211e-7,0.000001206029,0.00002544734,2.952038e-7,0.00001699363],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01424211,"threshold_uncertainty_score":0.02831841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08755153146642904,"score_gpt":0.3235785831743913,"score_spread":0.2360270517079622,"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."}}