{"id":"W4207067286","doi":"10.3390/ijerph19031231","title":"Assessing the Effects of Nature on Physiological States Using Wearable Technologies","year":2022,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"Urban Green Space and Health","field":"Environmental Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Wearable computer; Wearable technology; Computer science; Embedded system","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002041485,0.00007434706,0.0001427331,0.0001440221,0.0004538128,0.00006373434,0.0005446348,0.00004357459,0.0003587923],"category_scores_gemma":[0.0001902063,0.00004826024,0.00004176672,0.0001631312,0.0004882141,0.0002718426,0.0005971304,0.001146219,0.000003224553],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007651056,"about_ca_system_score_gemma":0.0001049169,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002134154,"about_ca_topic_score_gemma":0.00001074082,"domain_scores_codex":[0.9974089,0.0004138551,0.0002676156,0.0001469128,0.001425839,0.0003369396],"domain_scores_gemma":[0.9990571,0.0004434726,0.000253194,0.000112703,0.00001402103,0.0001195213],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003337814,0.004360785,0.673954,0.0000929901,0.0002332476,0.0002053042,0.002461094,0.001372787,0.05252595,0.001527706,0.01576191,0.2471704],"study_design_scores_gemma":[0.001939824,0.009873578,0.8817539,0.0001969072,0.000007217277,0.0003967053,0.02884706,0.001923671,0.00136742,0.01237892,0.06102178,0.0002930651],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9839736,0.001486335,0.00003453206,0.01409863,0.0001575382,0.000143185,0.0000167198,0.000004548579,0.00008486415],"genre_scores_gemma":[0.9969578,0.002085024,0.000188544,0.0006571265,0.00004477453,0.000004778463,0.000002811684,0.000006257321,0.0000528199],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2468774,"threshold_uncertainty_score":0.4979815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06566979901611357,"score_gpt":0.4031878891504507,"score_spread":0.3375180901343371,"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."}}