{"id":"W4389057179","doi":"10.3389/fepid.2023.1201038","title":"Unravelling the determinants of human health in French Polynesia: the MATAEA project","year":2023,"lang":"en","type":"article","venue":"Frontiers in Epidemiology","topic":"Pacific and Southeast Asian Studies","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de Santé Publique du Québec","funders":"","keywords":"Archipelago; Geography; Population; Demography; Obesity; Environmental health; Medicine; Gerontology; Pathology","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":[0.001328013,0.0004771197,0.0002258356,0.001010612,0.0005473869,0.0006032352,0.0004326086,0.0003463862,0.001468074],"category_scores_gemma":[0.00135225,0.0001436545,0.000506105,0.001118527,0.0002568499,0.0003161435,0.0007487511,0.0003565282,0.000160969],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002335639,"about_ca_system_score_gemma":0.002587279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4620185,"about_ca_topic_score_gemma":0.3438475,"domain_scores_codex":[0.9995327,0.0002219047,0.00002088025,0.00006982861,0.00004562654,0.0001091423],"domain_scores_gemma":[0.9992628,0.0001125506,0.0001781915,0.00005674908,0.0002040421,0.0001857204],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005118568,0.00003602056,0.9903121,0.00006058662,0.0001175569,0.0000653198,0.000651682,0.00008461051,0.0001845666,0.00008033669,0.0004904883,0.007865499],"study_design_scores_gemma":[0.000001948942,0.00002896559,0.9985383,0.00001839638,0.0000141855,0.00002883828,0.000399012,0.00007528036,0.00001745967,0.0000124607,0.0008638945,0.000001341036],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912775,0.00254582,0.0003692865,0.000780685,0.00001602114,0.0000876873,0.003227551,0.000009633841,0.001685805],"genre_scores_gemma":[0.9935524,0.001535548,0.001102457,0.0001932664,0.00001997128,0.0001542486,0.002303021,0.000004229047,0.001134736],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4620185,"threshold_uncertainty_score":0.9186586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.110911996474963,"score_gpt":0.4173682750890836,"score_spread":0.3064562786141206,"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."}}