{"id":"W4249714084","doi":"10.1016/j.vetpar.2004.09.010","title":"Preface","year":2004,"lang":"en","type":"article","venue":"Veterinary Parasitology","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Food Inspection Agency","funders":"","keywords":"Biology; Computational biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00009523029,0.0001726002,0.0002184528,0.0001159388,0.00009004493,0.00001164121,0.0002646466,0.0001215293,0.000218935],"category_scores_gemma":[0.00002972123,0.0001746717,0.00006082283,0.0002062386,0.0001737041,0.0001371405,0.00009508821,0.0001455343,0.02154815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001041413,"about_ca_system_score_gemma":0.00005079898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006861518,"about_ca_topic_score_gemma":0.000009864214,"domain_scores_codex":[0.9988117,0.00009499629,0.0001871056,0.0003502522,0.000112957,0.0004429645],"domain_scores_gemma":[0.9993503,0.00003253669,0.00006417693,0.0004233377,0.00002597941,0.0001036657],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0009942522,0.0006440264,0.04339195,0.00004314356,0.0001323866,0.004062011,0.0009464397,0.002255264,0.9228352,0.01995754,0.002943837,0.001793957],"study_design_scores_gemma":[0.006182006,0.007328566,0.6659102,0.00005248381,0.00007589169,0.02523943,0.0001585913,0.00006845725,0.02743436,0.01484384,0.2513729,0.001333258],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9872727,0.0001392654,0.0004245458,0.0003073855,0.0004652033,0.0001580415,0.00001289867,0.0004119424,0.010808],"genre_scores_gemma":[0.9962134,0.000004857533,0.003260828,0.0001546206,0.00009307525,0.00003883634,0.00001210585,0.00005305709,0.0001692026],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8954008,"threshold_uncertainty_score":0.9792137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04607330341518088,"score_gpt":0.3622748483831685,"score_spread":0.3162015449679876,"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."}}