{"id":"W2995367944","doi":"","title":"Ecological forensics resolve food webs on land and in water","year":2016,"lang":"en","type":"article","venue":"iBOL Barcode Bulletin","topic":"Identification and Quantification in Food","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Ecology; Geography; Environmental resource management; Environmental science; Environmental planning; Biology","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":[],"consensus_categories":[],"category_scores_codex":[0.0001751443,0.00009718493,0.00008776363,0.00004123904,0.00004839409,0.00002141335,0.00009972171,0.0001238387,0.0002358511],"category_scores_gemma":[0.00009988547,0.00005844388,0.00003168275,0.00002313504,0.00009200075,0.000001256656,0.0000594825,0.00005217761,0.0002899653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000847407,"about_ca_system_score_gemma":0.000009577923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001278883,"about_ca_topic_score_gemma":0.00002584402,"domain_scores_codex":[0.999177,0.00006427374,0.0001763918,0.0003158859,0.000079388,0.0001870966],"domain_scores_gemma":[0.9996053,0.00002614869,0.00003025153,0.0002464966,0.00003977519,0.00005204787],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003079242,0.0001743057,0.0103063,0.00001491022,0.00002763031,0.000004823322,0.00005361962,0.000008987705,0.9465533,0.002135586,0.03717315,0.003239502],"study_design_scores_gemma":[0.0008623158,0.0002600035,0.01936321,0.00001496861,0.000003565694,0.00000685348,0.00001509489,0.000003634147,0.5363234,0.0003092073,0.4426908,0.000146923],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9890919,0.00006654421,0.0005609068,0.008331865,0.0001034279,0.0001501223,0.00001852512,0.00001345163,0.001663297],"genre_scores_gemma":[0.9965785,0.000093677,0.0002983283,0.00058496,0.00007825947,0.00003571694,0.00003932154,0.00001217973,0.002279112],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4102299,"threshold_uncertainty_score":0.3727014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01513738396975944,"score_gpt":0.2333520746598633,"score_spread":0.2182146906901039,"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."}}