{"id":"W6930586570","doi":"10.5281/zenodo.14510217","title":"Aphis (Bursaphis) Baker 1934","year":2024,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Antimicrobial agents and applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Seta; Seta; ANT; ANT; Key (lock); Key (lock); Montane ecology; Montane ecology","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":[0.00009816912,0.0008451428,0.0003691583,0.001425065,0.001451421,0.0004071793,0.0003662992,0.0007294425,0.02758973],"category_scores_gemma":[0.0002159068,0.0002906368,0.0001498794,0.0006247623,0.000393488,0.001207585,0.0007471787,0.0005939334,0.008732064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007200183,"about_ca_system_score_gemma":0.0004032556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01365599,"about_ca_topic_score_gemma":0.017892,"domain_scores_codex":[0.9998772,0.000009569382,0.00001238421,0.00004226653,0.00004097789,0.00001755481],"domain_scores_gemma":[0.9999002,0.00001798033,0.00003369095,0.000006465349,0.00002367689,0.00001789937],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007391396,0.0001761341,0.02245593,0.001264642,0.00005488842,0.002992712,0.002263003,0.0002534527,0.05087551,0.003387636,0.0526751,0.8628618],"study_design_scores_gemma":[0.0002256975,0.0008476719,0.4192829,0.00106113,0.0001374232,0.008980998,0.002734416,0.0004070072,0.004857257,0.002539651,0.5588575,0.00006833942],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4059221,0.03229848,0.005808385,0.001527506,0.002041856,0.001371891,0.007431894,0.001334301,0.5422636],"genre_scores_gemma":[0.8406011,0.01242328,0.01112035,0.001589864,0.0005086611,0.0004796715,0.003679872,0.00007929488,0.129518],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02758973,"threshold_uncertainty_score":0.0922969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02673859047147,"score_gpt":0.2425669089805069,"score_spread":0.2158283185090369,"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."}}