{"id":"W4214927294","doi":"10.20933/100001223","title":"Intergenerational and Age-friendly Living Ecosystems (AFLE)","year":2022,"lang":"en","type":"report","venue":"","topic":"Migration, Aging, and Tourism Studies","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"AGE-WELL","keywords":"Ecosystem; Geography; Ecology; Environmental resource management; Environmental science; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002441536,0.0004697031,0.0002777295,0.002192995,0.00254937,0.0017546,0.000719759,0.001134771,0.02455548],"category_scores_gemma":[0.002253746,0.0002044925,0.0003601772,0.003056035,0.0003512298,0.002051733,0.003016894,0.0008862689,0.004299461],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001085685,"about_ca_system_score_gemma":0.004005194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06911353,"about_ca_topic_score_gemma":0.1483577,"domain_scores_codex":[0.9992797,0.0001383414,0.00002674969,0.00006828194,0.000206787,0.0002800994],"domain_scores_gemma":[0.9980565,0.0003243301,0.0001241762,0.0002653761,0.000690408,0.0005391799],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006210688,0.001062627,0.07944345,0.0003403852,0.00003823285,0.0004757805,0.002207736,0.0006317305,0.001045822,0.01991231,0.569428,0.3247929],"study_design_scores_gemma":[0.0000500901,0.0002987993,0.5004962,0.0002616147,0.00003279005,0.0005340005,0.006245129,0.0006899384,0.002224809,0.00334724,0.4857737,0.00004566636],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.176859,0.008609336,0.002957928,0.01000949,0.001817765,0.0008611343,0.1100371,0.0005727634,0.6882755],"genre_scores_gemma":[0.3650618,0.00961295,0.01461674,0.002626447,0.0005608149,0.002386988,0.07635492,0.0002523607,0.5285271],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06911353,"threshold_uncertainty_score":0.1374225,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03752316339398374,"score_gpt":0.3254400261368368,"score_spread":0.287916862742853,"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."}}