{"id":"W4220655596","doi":"10.1080/23748834.2022.2027710","title":"Using crowdsourced data to assess the relationship between neighbourhood-level deprivation and the availability of inclusive leisure programmes in Canadian cities","year":2022,"lang":"en","type":"article","venue":"Cities & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Canadian Institutes of Health Research","keywords":"Neighbourhood (mathematics); Metropolitan area; Census; Geography; Environmental health; Medicine; Population","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.006426446,0.00008787939,0.0002360281,0.00009742169,0.002591674,0.00008282344,0.0006672255,0.00004401682,0.00006533945],"category_scores_gemma":[0.0008594648,0.00006580789,0.0000266587,0.0006053825,0.0006790118,0.0002449593,0.0002285218,0.0003161097,2.361297e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005633565,"about_ca_system_score_gemma":0.00294352,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8859232,"about_ca_topic_score_gemma":0.9210575,"domain_scores_codex":[0.9974642,0.001087341,0.0004125125,0.0002610984,0.0003810232,0.0003938015],"domain_scores_gemma":[0.9978552,0.001269606,0.0001903026,0.0004615107,0.00006972427,0.0001536934],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001577832,0.000008445159,0.9435442,0.00003743996,0.0000048741,1.942816e-7,0.04547029,0.00002728263,2.63449e-7,0.009692873,0.00006102448,0.00113732],"study_design_scores_gemma":[0.0002092027,0.00001535235,0.9521547,0.00001674983,0.000009501461,1.160472e-7,0.03898884,0.00007020091,6.428209e-7,0.006571154,0.001896367,0.00006720806],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9806718,0.0003407467,0.0001108948,0.01682429,0.00008203824,0.001026685,0.0004670774,0.00001566745,0.0004608469],"genre_scores_gemma":[0.9990667,0.000005521485,0.0001891962,0.0004363095,0.00009128521,0.00003849933,0.0001009651,0.000007237983,0.00006430673],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03513425,"threshold_uncertainty_score":0.9987068,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2751458279304375,"score_gpt":0.4088297291208389,"score_spread":0.1336839011904014,"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."}}