{"id":"W2921543027","doi":"10.3390/challe10010020","title":"Intertwined Strands for Ecology in Planetary Health","year":2019,"lang":"en","type":"article","venue":"Challenges","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Northern British Columbia","funders":"University of Sydney; University of Warwick","keywords":"Reciprocity (cultural anthropology); Framing (construction); Ecology; Environmental ethics; Politics; Social connectedness; Political ecology; Sociology; Political science; Psychology; Social science; Geography; Biology; Social psychology; Philosophy","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002528055,0.00007479497,0.0001679581,0.00003184448,0.00002476531,0.000003283729,0.00009403974,0.00005711874,0.001432174],"category_scores_gemma":[0.000009238487,0.00006614532,0.00001935769,0.00003103178,0.00002030388,0.00006116086,0.00003706996,0.00006913902,0.0003982286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001098596,"about_ca_system_score_gemma":0.00001001555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001204657,"about_ca_topic_score_gemma":0.007189115,"domain_scores_codex":[0.9992355,0.00002332643,0.0001444608,0.0001922415,0.00005900137,0.0003455045],"domain_scores_gemma":[0.9996459,0.00009091618,0.00004062909,0.0001239737,0.000001439272,0.00009707738],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007832259,0.0007959674,0.4670719,0.002148904,0.00002355147,0.00002479575,0.04393137,0.0004877189,0.0009709213,0.00108254,0.04603992,0.4366392],"study_design_scores_gemma":[0.001809102,0.001407754,0.956749,0.00008212603,0.000002025568,0.000007712081,0.00215216,0.0006332304,0.00004272516,0.00175005,0.03517803,0.0001861449],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9619951,0.001282525,0.000003098363,0.02823736,0.0002661575,0.0005647033,0.0000174397,0.00002430052,0.007609313],"genre_scores_gemma":[0.9949661,0.002926011,0.0001160431,0.001715459,0.0000496699,0.00002488495,0.00002629604,0.000008971945,0.0001665573],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.489677,"threshold_uncertainty_score":0.9994807,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08244751029129636,"score_gpt":0.3248624123734487,"score_spread":0.2424149020821523,"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."}}