{"id":"W4294739213","doi":"10.3389/fenvs.2022.950894","title":"Linking human wellbeing and urban greenspaces: Applying the SoftGIS tool for analyzing human wellbeing interaction in Helsinki, Finland","year":2022,"lang":"en","type":"article","venue":"Frontiers in Environmental Science","topic":"Urban Green Space and Health","field":"Environmental Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Operationalization; Affordance; Typology; Urban planning; Mental health; Well-being; Geography; Environmental planning; Psychology; Ecology; Archaeology","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":[0.0009634734,0.0003704408,0.0002913051,0.003578833,0.001044389,0.00221535,0.0004530918,0.0003601999,0.003473065],"category_scores_gemma":[0.002802736,0.0002350784,0.0005144376,0.006170509,0.0009474389,0.001140271,0.002647837,0.0002478954,0.0002857173],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001477296,"about_ca_system_score_gemma":0.001659083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0386592,"about_ca_topic_score_gemma":0.06284741,"domain_scores_codex":[0.9994285,0.0002288718,0.00005450239,0.00008899141,0.00011715,0.00008206354],"domain_scores_gemma":[0.9985918,0.0009685247,0.0001940926,0.00008013417,0.00008345598,0.00008193957],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00033846,0.0001394702,0.7113634,0.001359736,0.0002866242,0.002825282,0.08672154,0.01411612,0.004673499,0.008803574,0.004000812,0.1653715],"study_design_scores_gemma":[0.00002421861,0.0001140001,0.8510134,0.000252491,0.00009190378,0.0004699094,0.1083582,0.01120954,0.002123272,0.006456302,0.019776,0.0001107077],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9740396,0.0003483052,0.01019863,0.0001428784,0.00001556055,0.0001251254,0.005052971,0.0001691645,0.0099077],"genre_scores_gemma":[0.9854583,0.0001948399,0.01120805,0.00001903196,0.000007686632,0.000248025,0.001927607,0.00002744955,0.0009090785],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0386592,"threshold_uncertainty_score":0.07686841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01150670744994283,"score_gpt":0.2437150878762617,"score_spread":0.2322083804263189,"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."}}