{"id":"W6958736083","doi":"10.6084/m9.figshare.c.3898240","title":"Multi-species genetic connectivity in a terrestrial habitat network","year":2017,"lang":"en","type":"other","venue":"Figshare","topic":"Fetal and Pediatric Neurological Disorders","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Habitat fragmentation; Landscape connectivity; Fragmentation (computing); Habitat; Wildlife corridor; Forest fragmentation; Habitat destruction","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":[0.0002896266,0.0001110254,0.0002047326,0.001279538,0.0005093943,0.0007616894,0.0003634148,0.0002096749,0.00161835],"category_scores_gemma":[0.002062053,0.0001165418,0.0002066771,0.001222364,0.0007402993,0.0006029198,0.0004941129,0.0001507671,0.00006678858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001562975,"about_ca_system_score_gemma":0.0005501015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09455054,"about_ca_topic_score_gemma":0.1179774,"domain_scores_codex":[0.9998009,0.00003858628,0.000009793231,0.00009776653,0.00002054746,0.00003256276],"domain_scores_gemma":[0.9988363,0.0004238595,0.000370057,0.00007204591,0.0001722086,0.0001254953],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005500896,0.00001884226,0.9511589,0.00005590166,0.000186688,0.0002389343,0.0005882728,0.03330461,0.002278815,0.003420496,0.0004196227,0.008273971],"study_design_scores_gemma":[0.000008005601,0.00003137863,0.9094219,0.00002164518,0.00006252993,0.000324899,0.0005920316,0.08281897,0.0001947646,0.005801579,0.0007083134,0.00001403737],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.9971017,0.00003297667,0.002047514,0.00002986618,7.658506e-7,0.000004840426,0.0002303332,0.000015666,0.0005362792],"genre_scores_gemma":[0.9993154,0.0000123482,0.0004673561,0.000004467703,6.760847e-7,0.000003243554,0.0001300729,0.000001341952,0.00006498632],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.09455054,"threshold_uncertainty_score":0.1880004,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07541554819272488,"score_gpt":0.2892205205047131,"score_spread":0.2138049723119882,"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."}}