{"id":"W4393716357","doi":"10.5281/zenodo.3066013","title":"Benchmark for supply chain monitoring properties using BeepBeep","year":2019,"lang":"en","type":"dataset","venue":"Figshare","topic":"Food Supply Chain Traceability","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Benchmark (surveying); Supply chain; Computer science; Chain (unit); Business; Geography; Physics; Cartography; Marketing","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001722751,0.00137829,0.0004929914,0.0009554725,0.0004543588,0.0009115352,0.002154961,0.001082593,0.004928302],"category_scores_gemma":[0.005478446,0.0003865527,0.0005685911,0.001209646,0.0008045243,0.001373024,0.0008899783,0.002015818,0.0008645369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008952219,"about_ca_system_score_gemma":0.001048121,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004099211,"about_ca_topic_score_gemma":0.003190359,"domain_scores_codex":[0.9981858,0.0004350206,0.0001449338,0.0003355822,0.0006433745,0.0002552702],"domain_scores_gemma":[0.9955769,0.002225401,0.0002627164,0.0009737244,0.0006492353,0.0003121402],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.004547623,0.004298945,0.03430031,0.002159098,0.000708105,0.00194875,0.00076661,0.7146386,0.06180637,0.0283505,0.04889737,0.09757773],"study_design_scores_gemma":[0.0002467863,0.0008598804,0.006210056,0.00004442808,0.00004599278,0.0001598488,0.0001623253,0.9408298,0.03767306,0.004738341,0.008996972,0.00003255578],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.8610691,0.0007261633,0.0720918,0.0007784423,0.0003050473,0.0007811757,0.01245524,0.02887412,0.022919],"genre_scores_gemma":[0.9464152,0.0002013129,0.03843415,0.0001783944,0.00001931942,0.0003295995,0.01097027,0.0006946161,0.002757085],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.004928302,"threshold_uncertainty_score":0.01648676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.129512069547144,"score_gpt":0.274362316510634,"score_spread":0.14485024696349,"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."}}