{"id":"W4394026990","doi":"10.5281/zenodo.3865917","title":"laurabanducci/foodways_republican_italy: May 2020","year":2020,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Food, Nutrition, and Cultural Practices","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Foodways; Geography; History; Sociology; Anthropology","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":["sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003727852,0.0002939654,0.0002971724,0.00003815039,0.002550844,0.001965541,0.00177519,0.0002241478,0.04913114],"category_scores_gemma":[0.0007989834,0.0001467664,0.0001488901,0.0008436962,0.000124861,0.0004664105,0.001025151,0.0006590018,0.02304343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008184555,"about_ca_system_score_gemma":0.000002827448,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001050219,"about_ca_topic_score_gemma":0.0000154113,"domain_scores_codex":[0.9974844,0.0004494312,0.0003492856,0.0007195391,0.0005567778,0.0004405454],"domain_scores_gemma":[0.9986032,0.00006679431,0.0002763953,0.0002138857,0.0004841227,0.0003556206],"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":[0.00005866692,0.0001346754,1.63199e-7,0.00006261844,0.00005161347,0.0000229623,0.00005218081,3.052042e-7,0.002369275,0.0000666335,0.9678374,0.0293435],"study_design_scores_gemma":[0.0001805293,0.0005889277,0.0001130227,0.00004600133,0.00003886361,0.0001282376,0.0004289503,0.000002443994,0.00007440278,0.00005170966,0.9980071,0.000339839],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00129616,0.0002761902,7.677868e-7,0.006839887,0.0001878948,0.0004316074,0.9801913,0.0006352141,0.01014094],"genre_scores_gemma":[0.004879248,0.001218316,0.00001077464,0.0005748932,0.001172779,9.529446e-8,0.9916406,0.00008435932,0.0004189301],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03016966,"threshold_uncertainty_score":0.9990705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04694546854694934,"score_gpt":0.2394978301131983,"score_spread":0.1925523615662489,"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."}}