{"id":"W4297492423","doi":"10.1007/s10980-022-01530-9","title":"Examining local and regional ecological connectivity throughout North America","year":2022,"lang":"en","type":"article","venue":"Landscape Ecology","topic":"Wildlife-Road Interactions and Conservation","field":"Environmental Science","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Landscape connectivity; Resistance (ecology); Landscape ecology; Context (archaeology); Biodiversity; Geography; Ecology; Spatial ecology; Environmental resource management; Patch dynamics; Channelized; Ecosystem; Environmental science; Computer science; Biology; Population; Biological dispersal; Habitat","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004015515,0.0002733464,0.0001495884,0.0006720066,0.0002196782,0.0004814351,0.0003391533,0.000177552,0.002403517],"category_scores_gemma":[0.001115607,0.0001298901,0.0003435051,0.0009061085,0.0003720875,0.0004258925,0.0004673621,0.0001623135,0.00008886585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009726927,"about_ca_system_score_gemma":0.0003259817,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04688221,"about_ca_topic_score_gemma":0.08194464,"domain_scores_codex":[0.9997965,0.00007188569,0.000006652394,0.00007399589,0.00002895627,0.00002205959],"domain_scores_gemma":[0.9994643,0.0002417655,0.00009722586,0.00005668209,0.000101544,0.00003843984],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000356385,0.0001590858,0.7127689,0.0001753652,0.0002890336,0.0003129386,0.001191914,0.2425742,0.01078708,0.001625599,0.001206852,0.02855274],"study_design_scores_gemma":[0.00003019511,0.0002078956,0.8647497,0.00002034358,0.00008216475,0.00007491766,0.001472624,0.1292408,0.001484731,0.001512343,0.001098409,0.00002595419],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970789,0.00002140376,0.001299905,0.00003354162,0.000001208282,0.00001137576,0.0003709125,0.00004997749,0.001132892],"genre_scores_gemma":[0.9983795,0.00001842211,0.001166067,0.000004338126,6.032949e-7,0.00001410621,0.0002752594,0.000005066287,0.0001367927],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9531178,"threshold_uncertainty_score":0.09321868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01913555427905944,"score_gpt":0.229947891137887,"score_spread":0.2108123368588275,"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."}}