{"id":"W4307763976","doi":"10.20944/preprints202210.0446.v1","title":"Point-of-Care Testing, Spatial Care Paths, and Enhanced Standards of Care – <i>Preparing Island Communities for Global Warming and Rising Oceans</i>","year":2022,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Travel-related health issues","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Triage; Health care; Extreme weather; Population; Archipelago; Medicine; Psychological intervention; Metropolitan area; Geography; Environmental resource management; Business; Medical emergency; Environmental planning; Nursing; Environmental health; Climate change; Economic growth; Ecology; Environmental science","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":[0.004299847,0.0004507753,0.0002066227,0.0006864144,0.0008999338,0.00290246,0.0008815596,0.0006380444,0.01307844],"category_scores_gemma":[0.01278088,0.0001476852,0.0004135965,0.0007883463,0.0009754369,0.001458768,0.002339845,0.001266788,0.001179248],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003664523,"about_ca_system_score_gemma":0.01263711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03079347,"about_ca_topic_score_gemma":0.03486639,"domain_scores_codex":[0.9972819,0.001648907,0.0001519108,0.0001464734,0.0004666409,0.000304115],"domain_scores_gemma":[0.9925136,0.001256673,0.001652506,0.0003648153,0.002571551,0.001640817],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003705917,0.0008118078,0.5343848,0.002056889,0.0002203098,0.0005794821,0.004691665,0.006667331,0.002493493,0.008080693,0.0824807,0.3571622],"study_design_scores_gemma":[0.0001879313,0.001151253,0.7580249,0.003252746,0.0002614346,0.0005281578,0.0305541,0.02464712,0.007348087,0.01812056,0.15577,0.0001535568],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6772117,0.005310572,0.04288391,0.1562061,0.00142025,0.00123482,0.005189295,0.001960778,0.1085825],"genre_scores_gemma":[0.9573925,0.001440447,0.03340982,0.002194054,0.0001991364,0.0002533939,0.001123619,0.00007284714,0.003914141],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03079347,"threshold_uncertainty_score":0.06122845,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05871404450214314,"score_gpt":0.3628704655577514,"score_spread":0.3041564210556083,"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."}}