{"id":"W4235518644","doi":"10.1111/j.1755-0998.2009.02654.x","title":"Preface","year":2009,"lang":"en","type":"article","venue":"Molecular Ecology Resources","topic":"Identification and Quantification in Food","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; University of Guelph","funders":"","keywords":"Convention on Biological Diversity; Biodiversity; Biology; Identification (biology); Environmental ethics; Organism; Standardization; Diversity (politics); Convention; Ecology; Internet privacy; Data science; Political science; Law; 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":[],"consensus_categories":[],"category_scores_codex":[0.0001392094,0.0001083559,0.00009477216,0.00005528288,0.0001022647,0.00003160942,0.0002429183,0.0001509729,0.00007331483],"category_scores_gemma":[0.0001176496,0.0001121926,0.00007354676,0.00009283995,0.00007601509,0.000002056336,0.00003395299,0.00006769648,0.000151933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006591972,"about_ca_system_score_gemma":0.00002072065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":9.651156e-7,"about_ca_topic_score_gemma":0.000004953514,"domain_scores_codex":[0.999122,0.00008462923,0.0001761741,0.0003314273,0.00008857113,0.0001971785],"domain_scores_gemma":[0.9993628,0.000007353968,0.00007572772,0.0004205662,0.00006957426,0.00006396564],"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":[0.00002148361,0.00008619665,0.001660872,0.000002645628,0.00002684724,0.000003817517,0.00006107647,0.00007283698,0.9884045,0.001913744,0.006476518,0.001269428],"study_design_scores_gemma":[0.0003570981,0.000251493,0.06659308,0.000002463892,0.00001628676,0.00002882766,0.00005412614,0.00003035339,0.5627003,0.0002332185,0.3695228,0.0002100086],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9883979,0.0003505257,0.001512326,0.001764089,0.0001572763,0.0001303429,0.000003235559,0.0000375582,0.00764674],"genre_scores_gemma":[0.9942911,0.00002212087,0.0004480279,0.001712363,0.00007101827,0.00001594996,0.00006783263,0.00001126973,0.003360344],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4257043,"threshold_uncertainty_score":0.4575082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007520094798221221,"score_gpt":0.2499191438027963,"score_spread":0.2423990490045751,"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."}}