{"id":"W4283377305","doi":"10.1371/journal.pone.0270098","title":"ALF–Score—A novel approach to build a predictive network–based walkability scoring system","year":2022,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Walkability; Computer science; Medicine; Physical medicine and rehabilitation; Physical activity","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001673431,0.001818738,0.001104426,0.004812486,0.0006802557,0.001427103,0.001984017,0.001304879,0.004541502],"category_scores_gemma":[0.006023801,0.0004099278,0.001327183,0.002317236,0.0004285392,0.002168808,0.001480385,0.001776584,0.003504782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009636465,"about_ca_system_score_gemma":0.001086061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01926678,"about_ca_topic_score_gemma":0.02073436,"domain_scores_codex":[0.9987038,0.0002325655,0.00009869216,0.0004641879,0.0003644886,0.0001361319],"domain_scores_gemma":[0.9978567,0.0006286603,0.0002170171,0.0002145256,0.0009680088,0.0001150838],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00038858,0.0005812875,0.0587717,0.0003083193,0.000497164,0.0005542387,0.0002816399,0.2761619,0.005675656,0.008638881,0.03520269,0.6129379],"study_design_scores_gemma":[0.000007318741,0.0000506841,0.002926529,0.00002090644,0.00003262711,0.00005948804,0.00004248172,0.9894391,0.0009116125,0.003956989,0.002531053,0.00002120921],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05059881,0.0003792394,0.9256663,0.0004526183,0.0001945346,0.0003116317,0.005108495,0.01205238,0.00523608],"genre_scores_gemma":[0.6394423,0.0003176029,0.3375188,0.0002693061,0.0002604969,0.0005571638,0.01518456,0.0004645543,0.005985231],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01926678,"threshold_uncertainty_score":0.03830928,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07442718711913121,"score_gpt":0.2505896145371235,"score_spread":0.1761624274179923,"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."}}