{"id":"W4297536966","doi":"10.1016/j.tree.2022.09.002","title":"Demystifying ecological connectivity for actionable spatial conservation planning","year":2022,"lang":"en","type":"review","venue":"Trends in Ecology & Evolution","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":158,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bedford Institute of Oceanography; Fisheries and Oceans Canada; Dalhousie University","funders":"Australian Research Council; Natural Sciences and Engineering Research Council of Canada; Institut Nordique De Recherche En Environnement Et En Santé Au Travail; Consortium for Energy, Environment and Demilitarization; Fisheries and Oceans Canada; University of Leeds; Nature Conservancy; University of Melbourne; Centre of Excellence for Environmental Decisions, Australian Research Council","keywords":"Geography; Environmental resource management; Ecology; Environmental planning; Environmental science; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001845204,0.00123497,0.001223553,0.003506881,0.0005774021,0.00222026,0.001761908,0.002426247,0.006088431],"category_scores_gemma":[0.003313432,0.0004019936,0.0008722816,0.003418382,0.002991995,0.005367632,0.001806958,0.003498709,0.001180613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002133705,"about_ca_system_score_gemma":0.003498004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006731117,"about_ca_topic_score_gemma":0.01061387,"domain_scores_codex":[0.9994048,0.0002336456,0.00005336658,0.00008107261,0.0001841355,0.000042985],"domain_scores_gemma":[0.9983792,0.001048677,0.0001623109,0.0001000375,0.0002366624,0.00007307612],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001524567,0.0000351462,0.000289465,0.01809027,0.0001417931,0.0001759801,0.0004291458,0.004805839,0.0006295925,0.2745863,0.02780993,0.6729913],"study_design_scores_gemma":[0.000005678374,0.00002513239,0.0006390307,0.01047733,0.00009696652,0.0004585599,0.0002712161,0.0006035318,0.0002144265,0.07940701,0.9077657,0.0000354112],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002883762,0.9769035,0.00829231,0.003939897,0.0008151905,0.00002984352,0.00007502087,0.00004398438,0.009611898],"genre_scores_gemma":[0.007278809,0.9818652,0.00796569,0.0009323817,0.0003590075,0.00005294219,0.0001048859,0.0000164666,0.001424509],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.006731117,"threshold_uncertainty_score":0.02036786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1503486304672666,"score_gpt":0.3682694005946835,"score_spread":0.2179207701274169,"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."}}