{"id":"W2476765743","doi":"10.1603/ice.2016.94353","title":"Matrix key to the elaterid genera of Canada and USA","year":2016,"lang":"en","type":"article","venue":"2016 International Congress of Entomology","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Key (lock); Computer science; Matrix (chemical analysis); Computer security; Materials science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002260465,0.0009600688,0.0006412889,0.01021009,0.008203678,0.002631668,0.001568004,0.0006312001,0.08594339],"category_scores_gemma":[0.001206262,0.0003595743,0.0002511331,0.01220585,0.002277257,0.001292765,0.00153521,0.001313268,0.01254176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01300194,"about_ca_system_score_gemma":0.03104611,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9335782,"about_ca_topic_score_gemma":0.9772241,"domain_scores_codex":[0.9994766,0.00002321804,0.00003464041,0.00008052991,0.0002073558,0.0001776623],"domain_scores_gemma":[0.9979783,0.00009349957,0.0001573288,0.00005750516,0.001335901,0.0003775867],"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":[0.0003138558,0.00005594197,0.01347525,0.001280957,0.000022842,0.0004994327,0.00402376,0.00033796,0.006423235,0.01746202,0.5217171,0.4343877],"study_design_scores_gemma":[0.000005089611,0.00001097945,0.02321391,0.000218701,0.000009126758,0.0001644233,0.001888749,0.0000584785,0.0002670221,0.0005588421,0.9735945,0.00001017749],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.04404604,0.03218813,0.00446908,0.007461859,0.004649584,0.001620276,0.08852732,0.001318591,0.8157191],"genre_scores_gemma":[0.2829262,0.03581983,0.02566282,0.003413006,0.001391363,0.0007750418,0.05471604,0.0006388798,0.5946569],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.08594339,"threshold_uncertainty_score":0.2875093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02049905432373517,"score_gpt":0.2289950445001313,"score_spread":0.2084959901763961,"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."}}