{"id":"W2811026805","doi":"10.1016/j.jglr.2018.05.019","title":"Monitoring climate change and anthropogenic pressure at Lake Tanganyika","year":2018,"lang":"en","type":"article","venue":"Journal of Great Lakes Research","topic":"Aquatic Ecosystems and Biodiversity","field":"Environmental Science","cited_by":77,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sustainability; Climate change; Overfishing; Environmental resource management; Environmental monitoring; Environmental science; Biodiversity; Environmental planning; Environmental change; Environmental protection; Ecology; Environmental engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001383543,0.00008048062,0.0001575984,0.00006922713,0.0005257361,0.00004764195,0.0002333679,0.00006761037,0.002317282],"category_scores_gemma":[0.00005559271,0.00005754886,0.00004794317,0.0001893988,0.0004940892,0.000294401,0.0005074146,0.000217269,0.0003272413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009805228,"about_ca_system_score_gemma":0.000007251923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001120825,"about_ca_topic_score_gemma":0.001013228,"domain_scores_codex":[0.9984264,0.000138146,0.0001890407,0.0001518382,0.000733425,0.0003611698],"domain_scores_gemma":[0.9994187,0.00006941875,0.0001082837,0.0001431484,0.00007835922,0.0001821004],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001085032,0.00002906713,0.982176,0.00002525797,0.00002523381,0.00007213843,0.0007765359,5.554056e-7,0.004587674,0.000004513859,0.002335953,0.009858549],"study_design_scores_gemma":[0.0007188076,0.001322269,0.8446019,0.0001989753,0.00004383111,0.0003053768,0.0006850403,0.0002645514,0.006232081,0.00006236534,0.1453845,0.0001803643],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996484,0.000676359,0.000002988103,0.0002826216,0.0001932421,0.0001527769,0.00001829384,0.000004960431,0.002184726],"genre_scores_gemma":[0.9973632,0.0009676678,0.0001656538,0.000009791464,0.0006301515,0.000002187751,2.835493e-7,0.000006300118,0.0008547641],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1430485,"threshold_uncertainty_score":0.9985948,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1009820856275403,"score_gpt":0.3349926815035518,"score_spread":0.2340105958760116,"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."}}