{"id":"W4248297913","doi":"10.3410/f.717982104.793471997","title":"Faculty Opinions recommendation of Big food, food systems, and global health.","year":2013,"lang":"en","type":"dataset","venue":"Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature","topic":"Global Public Health Policies and Epidemiology","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Food systems; Food science; Business; Data science; Computer science; Food security; Biology; Agriculture; Ecology","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":[0.00145365,0.002536623,0.001874835,0.004911189,0.0008764221,0.004237368,0.003745036,0.002670703,0.1364992],"category_scores_gemma":[0.01102324,0.0008314807,0.001748953,0.008475211,0.0004522917,0.002405576,0.003093956,0.002627585,0.1492548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002311797,"about_ca_system_score_gemma":0.004468764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04839057,"about_ca_topic_score_gemma":0.1037832,"domain_scores_codex":[0.9985851,0.0001893433,0.0001577796,0.0003414621,0.0004496952,0.0002766104],"domain_scores_gemma":[0.9957272,0.000836916,0.0005841618,0.000824469,0.001176849,0.0008504855],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001638713,0.000006287326,0.0004525758,0.0001939545,0.0000113952,0.000004930237,0.00000580693,0.0000502726,0.00001530456,0.0001731046,0.9982458,0.0008241432],"study_design_scores_gemma":[0.0001829965,0.000008576805,0.003851167,0.000337127,0.00002953862,0.00002466816,0.00004129166,0.0003994341,0.0001404537,0.0009748857,0.9939886,0.00002131995],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004308713,0.00004779582,0.00003334606,0.0001516333,0.00003918446,0.000006687943,0.9987219,0.0002240242,0.0007323725],"genre_scores_gemma":[0.0003039716,0.00009403659,0.0001881944,0.0001255041,0.00002190134,0.00003916464,0.9978464,0.00007441114,0.001306486],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1364992,"threshold_uncertainty_score":0.4566354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0626029233399303,"score_gpt":0.3725155600419285,"score_spread":0.3099126367019983,"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."}}