{"id":"W4292712520","doi":"10.1080/14615517.2022.2099728","title":"Treatment of ecological connectivity in environmental assessment: A global survey of current practices and common issues","year":2022,"lang":"en","type":"article","venue":"Impact Assessment and Project Appraisal","topic":"Environmental and Social Impact Assessments","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan; Parks Canada; Concordia University","funders":"","keywords":"Process (computing); Scale (ratio); Context (archaeology); Environmental resource management; Perception; Computer science; Data science; Environmental planning; Environmental science; Geography; Psychology; Cartography","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008980022,0.000344451,0.0006676418,0.00007209137,0.0002186478,0.00003984468,0.0001886182,0.00007834451,0.0007099068],"category_scores_gemma":[0.00004080852,0.0002877706,0.0001002978,0.0003375461,0.0004556415,0.0004209824,0.0005856213,0.0002440495,0.000001267651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001166337,"about_ca_system_score_gemma":0.000117662,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01662814,"about_ca_topic_score_gemma":0.001591375,"domain_scores_codex":[0.9967989,0.001141947,0.0005173017,0.0004854064,0.0006418789,0.0004145917],"domain_scores_gemma":[0.9983117,0.0006094791,0.0007196987,0.0002227543,0.000003582496,0.000132759],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002086327,0.003691066,0.9770412,0.00001670889,0.0000720793,0.000010558,0.0008302186,0.00007228061,0.001844474,0.00008105685,0.00004340114,0.0160883],"study_design_scores_gemma":[0.001909724,0.003597636,0.991191,0.000006458086,0.0000513505,0.00002490063,0.001205064,0.001038739,0.00008958206,0.0001543023,0.0004612396,0.0002700052],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964728,0.0004832708,0.00001148122,0.00007834116,0.0001468006,0.0008123562,0.0006766413,0.00001453932,0.001303715],"genre_scores_gemma":[0.9986019,0.0007448483,0.0003257423,0.000009947416,0.00001708561,0.0001159148,0.00015609,0.00001493135,0.00001353019],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01581829,"threshold_uncertainty_score":0.9999574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06782728553241443,"score_gpt":0.469251213876376,"score_spread":0.4014239283439616,"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."}}