{"id":"W4379599686","doi":"10.1093/jisesa/iead036","title":"Entomology beyond research and education: 2022 student debates","year":2023,"lang":"en","type":"article","venue":"Journal of Insect Science","topic":"Forensic Entomology and Diptera Studies","field":"Agricultural and Biological Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Centre for the Replacement Refinement and Reduction of Animals in Research","keywords":"Entomology; Session (web analytics); Theme (computing); Biology; Library science; Undergraduate research; Engineering ethics; Ecology; Medical education; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002295873,0.00005446079,0.0001136088,0.0001196322,0.0005267172,0.00006389468,0.0003576555,0.00003250824,0.00007410005],"category_scores_gemma":[0.0003109087,0.00001949251,0.00002600452,0.001484522,0.000986764,0.0001979547,0.0002201902,0.000181211,0.00002169638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003008761,"about_ca_system_score_gemma":0.00007921565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003819022,"about_ca_topic_score_gemma":0.00009512073,"domain_scores_codex":[0.9988736,0.00005013081,0.0001837941,0.0001484217,0.0004780637,0.0002659778],"domain_scores_gemma":[0.9989287,0.0003609171,0.00008537475,0.00003353498,0.0004890587,0.0001023968],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000904285,0.0004191842,0.4330981,0.00001311646,0.00003435244,0.0001284583,0.003138273,0.000005100868,0.3914163,0.01111703,0.0270642,0.1334755],"study_design_scores_gemma":[0.00008116865,0.001024468,0.9681381,0.00002206549,0.000003563335,0.0002628717,0.002968371,0.000004100806,0.004583866,0.02062895,0.002217394,0.00006511157],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929549,0.00100423,1.275896e-7,0.003712304,0.0006160506,0.00004766011,0.000001001037,0.000008708626,0.001655038],"genre_scores_gemma":[0.9984683,0.0004790532,0.00002982887,0.0002016009,0.0001966665,0.000002981963,6.161085e-7,2.558675e-7,0.0006207105],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.53504,"threshold_uncertainty_score":0.4051136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06413730718472122,"score_gpt":0.3602648433072657,"score_spread":0.2961275361225445,"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."}}