{"id":"W2922618162","doi":"10.1021/acs.jnatprod.9b00067","title":"Special Issue in Honor of Professor Rachel Mata","year":2019,"lang":"en","type":"article","venue":"Journal of Natural Products","topic":"Insect Utilization and Effects","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Honor; Philosophy; Art; Environmental ethics; Classics; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004288182,0.00007831679,0.0002187005,0.00003247313,0.00002140946,0.0000151859,0.0002040292,0.00005814406,0.0004842804],"category_scores_gemma":[0.0002780293,0.00002720522,0.00005592967,0.0003986329,0.00002091717,0.0002268575,0.00003352327,0.0002396545,0.00004030726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002223963,"about_ca_system_score_gemma":0.00001992166,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001091912,"about_ca_topic_score_gemma":0.00003354468,"domain_scores_codex":[0.9991218,0.00008587616,0.0003143711,0.0001089388,0.0002274792,0.0001415665],"domain_scores_gemma":[0.9993315,0.00006937616,0.0002985608,0.00004099331,0.0002298265,0.00002975313],"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":[0.0004515412,0.0002123287,0.01105337,0.00009334712,0.00001640544,0.0000165845,0.0003250389,0.000009201729,0.902489,0.0001895063,0.03946006,0.0456836],"study_design_scores_gemma":[0.001137754,0.001006033,0.6490748,0.0002470638,0.00001679709,0.0001030045,0.0004444263,0.00005910012,0.1887687,0.0003480295,0.1585176,0.0002766232],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992015,0.0002013492,2.989674e-8,0.004159774,0.002151163,0.0001970944,0.000003005991,0.00000400488,0.001268549],"genre_scores_gemma":[0.9927849,0.00002485645,0.00007102805,0.0001438713,0.004587902,3.49828e-7,0.000005055738,6.88413e-7,0.002381363],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7137203,"threshold_uncertainty_score":0.5302531,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01152080679225618,"score_gpt":0.2332360379959448,"score_spread":0.2217152312036887,"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."}}