{"id":"W2153889167","doi":"10.1146/annurev-ecolsys-102209-144718","title":"From Graphs to Spatial Graphs","year":2010,"lang":"en","type":"article","venue":"Annual Review of Ecology Evolution and Systematics","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":289,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of Northern British Columbia","funders":"","keywords":"Metapopulation; Biological dispersal; Computer science; Graph; Graph theory; Theoretical computer science; Ecology; Biology; Mathematics; Population; Combinatorics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005995831,0.0001150588,0.0004402873,0.00003642544,0.00007376774,0.000006962397,0.0001783468,0.00009768259,0.0009383163],"category_scores_gemma":[0.0001432169,0.00008205568,0.00006998907,0.0001652225,0.00003337601,0.0001067671,0.0001101596,0.00008558133,0.0003565061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000185534,"about_ca_system_score_gemma":0.000009664587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009617981,"about_ca_topic_score_gemma":0.005218437,"domain_scores_codex":[0.9988203,0.0001148492,0.0005341697,0.0001997195,0.0001689988,0.0001619568],"domain_scores_gemma":[0.9992402,0.0001080224,0.0002255543,0.0002694728,0.00003440813,0.0001223257],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003128762,0.0003733421,0.8942279,0.03549244,0.0001951372,0.00001284951,0.002901276,0.0000249699,0.001447168,0.01184852,0.04919641,0.004248638],"study_design_scores_gemma":[0.0009741821,0.0007410593,0.9226646,0.01242597,0.0005289275,0.00009472806,0.001302029,0.002580538,0.0001365557,0.02315086,0.03446772,0.0009327982],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932169,0.002369421,0.0001604014,0.0004642854,0.0006875265,0.0006696578,0.00006166252,0.00002038393,0.002349705],"genre_scores_gemma":[0.997781,0.0008972903,0.0005724183,0.0006208273,0.00004113607,0.00003554158,0.000009606895,0.000006244534,0.00003589907],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02843668,"threshold_uncertainty_score":0.999975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006681082235876485,"score_gpt":0.2414697644538824,"score_spread":0.2347886822180059,"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."}}