{"id":"W4401285469","doi":"10.1016/j.ufug.2024.128471","title":"Assessing the strategic role of urban green spaces for habitat connectivity in multi-family residential plots","year":2024,"lang":"en","type":"article","venue":"Urban forestry & urban greening","topic":"Wildlife-Road Interactions and Conservation","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"Agence Nationale de la Recherche","keywords":"Habitat; Geography; Land cover; Ecology; Wildlife corridor; Land use; Environmental resource management; Environmental science; Biology","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":[0.001160686,0.0002307367,0.0001516559,0.000668221,0.0007295047,0.001371668,0.0006603829,0.0004727812,0.003312245],"category_scores_gemma":[0.006779233,0.0001398957,0.000346062,0.0007621864,0.0008231265,0.001714995,0.001190303,0.0003585159,0.0002130524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001156232,"about_ca_system_score_gemma":0.000860077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02619053,"about_ca_topic_score_gemma":0.08871299,"domain_scores_codex":[0.9990901,0.0004683062,0.00003273755,0.0001371009,0.00009536583,0.0001764281],"domain_scores_gemma":[0.9948205,0.002819316,0.0009016792,0.0002317557,0.0003846867,0.0008420491],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004455726,0.0002179161,0.9880292,0.00001618883,0.00007691476,0.0001300817,0.001066502,0.001989724,0.000760861,0.001362746,0.0001131969,0.00579108],"study_design_scores_gemma":[0.0000117724,0.000353195,0.9862669,0.00001106894,0.00006056335,0.00008390717,0.007048578,0.00482145,0.000286726,0.000671225,0.000377697,0.00000696912],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991063,0.00001325769,0.0000763295,0.00001352943,6.516534e-7,0.000003008922,0.00002988051,5.89259e-7,0.0007564403],"genre_scores_gemma":[0.9997613,0.000005334365,0.00008220368,0.000001461559,4.131632e-7,0.000002856751,0.00001879646,5.323325e-7,0.0001272297],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02619053,"threshold_uncertainty_score":0.05207616,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03975909152422311,"score_gpt":0.289213896859281,"score_spread":0.2494548053350578,"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."}}