{"id":"W2946416268","doi":"10.1002/ecy.2701","title":"Faster movement in nonhabitat matrix promotes range shifts in heterogeneous landscapes","year":2019,"lang":"en","type":"article","venue":"Ecology","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Ecology; Movement (music); Range (aeronautics); Geography; Matrix (chemical analysis); Biology; Chemistry; Physics","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":[0.0004439722,0.0001322751,0.0001739898,0.0008176297,0.0003172979,0.0005630503,0.0001528911,0.0002012989,0.002370817],"category_scores_gemma":[0.002181208,0.00009996158,0.0002394548,0.0004010245,0.0004197505,0.0005695859,0.0005423462,0.0002187368,0.0001655424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002049584,"about_ca_system_score_gemma":0.00009728502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002311805,"about_ca_topic_score_gemma":0.01029624,"domain_scores_codex":[0.9997842,0.00006362557,0.00001248301,0.00007127588,0.00003166253,0.00003676912],"domain_scores_gemma":[0.9986005,0.0005331016,0.0004949709,0.000161524,0.00007567903,0.0001341776],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001577217,0.0001145428,0.9546813,0.000095763,0.0002003749,0.0002344211,0.0005111797,0.003162198,0.01664679,0.0007480051,0.0003664215,0.02308123],"study_design_scores_gemma":[0.000005490477,0.00007159098,0.9956142,0.000007746498,0.00002781895,0.00019576,0.0003308421,0.002023778,0.0007970211,0.0005219281,0.0003983234,0.000005432004],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982727,0.00006891665,0.0005472586,0.00002845554,0.000001479658,0.000004288915,0.00003477599,0.000009995275,0.00103227],"genre_scores_gemma":[0.9994186,0.0000405232,0.0003756789,0.00001213005,0.000001969912,0.00000365412,0.00004796017,0.00000298277,0.00009639752],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002370817,"threshold_uncertainty_score":0.007931113,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004939449014885105,"score_gpt":0.2081207416620866,"score_spread":0.2031812926472015,"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."}}