{"id":"W4394514796","doi":"10.6084/m9.figshare.22751909","title":"Using sentinel nodes to evaluate changing connectivity in a protected area network","year":2023,"lang":"en","type":"dataset","venue":"Figshare","topic":"Opportunistic and Delay-Tolerant Networks","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Computer network; Geography","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":[0.001561317,0.0003928042,0.0003128209,0.001138106,0.0003303372,0.0005189417,0.00071613,0.0003825169,0.0008777685],"category_scores_gemma":[0.007566663,0.000240018,0.0003269036,0.0005898429,0.0005099173,0.001491845,0.0006483912,0.0003051016,0.00009111169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001023841,"about_ca_system_score_gemma":0.0004851255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01045733,"about_ca_topic_score_gemma":0.02051268,"domain_scores_codex":[0.9995202,0.0001908956,0.00002264038,0.0001290899,0.00008619154,0.00005100581],"domain_scores_gemma":[0.9960808,0.00230924,0.0007775334,0.0002988372,0.0003645694,0.0001690703],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002516747,0.00007881758,0.0814167,0.00008633432,0.0001475565,0.0001036312,0.0002915607,0.8743203,0.007249458,0.006788775,0.0008419163,0.02842319],"study_design_scores_gemma":[0.000008290506,0.00008165418,0.00567577,0.000006151839,0.00001964948,0.00004586749,0.00008013666,0.9902138,0.00123369,0.002327466,0.0002970342,0.00001063037],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.7230138,0.0001372014,0.27334,0.000162713,0.00003610326,0.00008758216,0.0006317045,0.0005046503,0.002086193],"genre_scores_gemma":[0.9522153,0.0000476189,0.04680417,0.00002450211,0.000006277372,0.00004206844,0.0003554839,0.00002390965,0.0004807461],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.01045733,"threshold_uncertainty_score":0.02079296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1562121230702764,"score_gpt":0.3259272979418871,"score_spread":0.1697151748716107,"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."}}