{"id":"W2590729551","doi":"10.1093/geront/gnw261","title":"Development of a Physical Environmental Observational Tool for Dining Environments in Long-Term Care Settings","year":2017,"lang":"en","type":"article","venue":"The Gerontologist","topic":"Urban Green Space and Health","field":"Environmental Science","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of Waterloo; Simon Fraser University","funders":"","keywords":"Observational study; Term (time); Medicine; Environmental science; Computer science; 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":[0.01985119,0.0006935744,0.0006925318,0.001619095,0.0007350749,0.001438181,0.00161187,0.0005476525,0.001434195],"category_scores_gemma":[0.04481607,0.0004581519,0.001040838,0.0008845461,0.0005439817,0.001405257,0.002541256,0.001258479,0.0005787991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001199503,"about_ca_system_score_gemma":0.006481965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004033957,"about_ca_topic_score_gemma":0.008814737,"domain_scores_codex":[0.9860036,0.007225353,0.002197012,0.0006412985,0.003486817,0.0004459764],"domain_scores_gemma":[0.9780287,0.006481758,0.002574597,0.001709579,0.01019119,0.001014305],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005380108,0.001907261,0.3349684,0.00149957,0.0001044689,0.0004772201,0.006008992,0.001211329,0.005565898,0.0005463546,0.007963643,0.6392088],"study_design_scores_gemma":[0.0003335123,0.006420135,0.9418916,0.001670943,0.0001660446,0.001226211,0.008023707,0.009273361,0.007274054,0.0008182542,0.02267932,0.0002229079],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.790469,0.001012012,0.1491919,0.001470693,0.000511152,0.04273776,0.003385932,0.001493766,0.009727895],"genre_scores_gemma":[0.5005451,0.001239169,0.442444,0.0005747373,0.0001113106,0.04845271,0.004131015,0.0001117139,0.002390321],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01985119,"threshold_uncertainty_score":0.1049844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05957973499005029,"score_gpt":0.3125737393187807,"score_spread":0.2529940043287304,"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."}}