{"id":"W30717401","doi":"10.3390/cells8020115","title":"Trends In Australian Fresh Milk Supply Chains","year":2003,"lang":"en","type":"article","venue":"Cells","topic":"Livestock Management and Performance Improvement","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Banting Research Foundation","keywords":"Supply chain; Business; Product (mathematics); Supply chain management; Deregulation; Marketing; Industrial organization; Dairy industry; Commerce; Economics; Market economy","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001135396,0.00008279568,0.00007678116,0.00002124451,0.00005380229,0.00003127621,0.000120557,0.00003872518,0.004222327],"category_scores_gemma":[0.000001816589,0.00003175644,0.0000402598,0.0002809436,0.00001688122,0.00008140715,0.00001903275,0.0000597922,0.0001145482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001581414,"about_ca_system_score_gemma":0.000001394748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001632103,"about_ca_topic_score_gemma":0.0008949586,"domain_scores_codex":[0.9993755,0.00002252136,0.0001131046,0.0001537869,0.00009206786,0.0002430644],"domain_scores_gemma":[0.9998646,0.00001360234,0.0000257897,0.00003892008,0.000006434398,0.00005067315],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001979868,0.0003731612,0.1602732,0.00001809868,0.00001725266,0.00001904196,0.0004349264,0.00004862446,0.5050582,0.00352471,0.09272242,0.2374906],"study_design_scores_gemma":[0.0002626335,0.0002412429,0.3779187,0.00001103617,0.000004927546,4.288407e-7,0.0003838467,0.00003017258,0.0572389,0.0002035918,0.5634795,0.0002249479],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9762635,0.00002375344,2.257304e-7,0.000692671,0.0001722503,0.00008700547,0.000008327746,0.00001952162,0.02273276],"genre_scores_gemma":[0.9633051,0.00002582372,0.00003826298,0.0002376908,0.00007492995,0.0000104881,0.00002707812,4.304849e-7,0.03628019],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4707572,"threshold_uncertainty_score":0.9966879,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02232819260176028,"score_gpt":0.2222941088150613,"score_spread":0.199965916213301,"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."}}