{"id":"W4213259270","doi":"10.1080/14634988.2018.1540232","title":"Preface","year":2018,"lang":"en","type":"article","venue":"Aquatic Ecosystem Health & Management","topic":"Ecology and biodiversity studies","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; Balsillie School of International Affairs","funders":"","keywords":"Shore; Recreation; Geography; Population; Resource (disambiguation); Natural resource; Structural basin; Drainage basin; Natural (archaeology); Fishery; Archaeology; Oceanography; Geology; Ecology; Cartography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006011372,0.0001066334,0.0001614378,0.0000295548,0.0005117111,0.00001173102,0.0002214969,0.00003020191,0.001460039],"category_scores_gemma":[0.000007805017,0.00009338692,0.00003050048,0.0001606213,0.00008546128,0.00007507076,0.0003876797,0.0000476058,0.01733941],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002999742,"about_ca_system_score_gemma":0.0000053591,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002867719,"about_ca_topic_score_gemma":0.006203453,"domain_scores_codex":[0.9988104,0.00009491678,0.000230144,0.0002983001,0.0001985966,0.0003676425],"domain_scores_gemma":[0.999498,0.00002897145,0.0001146329,0.0002603608,0.00000371925,0.00009432303],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003440602,0.0002662995,0.3761842,0.0004993498,0.000201824,0.00002745973,0.00300063,0.00003117129,0.000006103269,0.002163586,0.5631279,0.05445703],"study_design_scores_gemma":[0.0008656695,0.0006883452,0.4469866,0.0001029175,0.00005312173,0.000006348974,0.002118279,0.001499036,0.00004038563,0.00111082,0.5461619,0.000366604],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7315971,0.0001588923,0.001423058,0.01460206,0.001152614,0.00193317,0.00001049919,0.0002128134,0.2489098],"genre_scores_gemma":[0.9913286,0.00006160626,0.001707325,0.002683433,0.00004729695,0.0000260226,0.000002510943,0.000004875289,0.004138344],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2597315,"threshold_uncertainty_score":0.9994528,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01578675585262168,"score_gpt":0.2470278237369744,"score_spread":0.2312410678843527,"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."}}