{"id":"W4249225942","doi":"10.1080/14634980701764423","title":"Preface","year":2007,"lang":"en","type":"article","venue":"Aquatic Ecosystem Health & Management","topic":"Aquatic Ecosystems and Biodiversity","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"","keywords":"Computer science","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":[0.003070935,0.0002011633,0.0002933381,0.00006912896,0.0003383419,0.0000314129,0.0003662065,0.00005525928,0.001247784],"category_scores_gemma":[0.0000114635,0.0001786879,0.00007510986,0.0003338641,0.00002838469,0.0001430317,0.0003356813,0.0000970222,0.008816288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008634615,"about_ca_system_score_gemma":0.00001270644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00174247,"about_ca_topic_score_gemma":0.007903395,"domain_scores_codex":[0.9974443,0.0001052946,0.0006637506,0.0004715359,0.0006009321,0.0007141632],"domain_scores_gemma":[0.9987773,0.00007013683,0.0003131262,0.0005126714,0.000004713918,0.0003219933],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001079668,0.0008919506,0.3693163,0.002905879,0.0003119556,0.0002945852,0.003817657,0.0005320308,0.00006067447,0.0106299,0.2415089,0.3696222],"study_design_scores_gemma":[0.002189766,0.0004971891,0.3053332,0.0004609039,0.00008930428,0.00003907896,0.004772038,0.008905592,0.0001202975,0.00123074,0.6752903,0.001071584],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7403225,0.0002206399,0.04713868,0.002789252,0.001099895,0.00351406,0.00001695214,0.0003175412,0.2045805],"genre_scores_gemma":[0.9912406,0.000032821,0.004303466,0.001075373,0.00005100599,0.0000180067,0.000008410725,0.00001433184,0.003256013],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4337815,"threshold_uncertainty_score":0.9996652,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01322681771843721,"score_gpt":0.2422330729706862,"score_spread":0.229006255252249,"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."}}