{"id":"W6926879946","doi":"10.25446/oxford.25013714","title":"8665: Pte Edward John Hammond","year":2024,"lang":"en","type":"other","venue":"Open MIND","topic":"Protist diversity and phylogeny","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Front (military); World War II; George (robot); Queen (butterfly); Spanish Civil War","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003915769,0.001047218,0.0003972182,0.000633031,0.002341855,0.002870925,0.0006590723,0.001746982,0.6711165],"category_scores_gemma":[0.001460276,0.00040921,0.0002169826,0.0004912452,0.0005922763,0.001763001,0.002605117,0.002015458,0.4740735],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001159479,"about_ca_system_score_gemma":0.001077287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007408864,"about_ca_topic_score_gemma":0.0251709,"domain_scores_codex":[0.9996164,0.00004217354,0.00001634065,0.0001211904,0.0001316489,0.00007226656],"domain_scores_gemma":[0.9993599,0.00005746376,0.00002985978,0.00004727651,0.0002338154,0.0002716155],"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":[0.00001728177,0.00001161728,0.0000803744,0.00004295773,8.549448e-7,0.0001452715,0.00006164159,0.00001863734,0.000228207,0.001690352,0.9701286,0.02757422],"study_design_scores_gemma":[0.00000102699,0.000004507433,0.0001413129,0.00003122331,2.295843e-7,0.00008283749,0.00004507315,0.000007893045,0.00002936476,0.0001058547,0.9995494,0.000001279372],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"dataset","genre_scores_codex":[0.0006167456,0.006788681,0.0003891569,0.009819167,0.01078825,0.00008093299,0.0003826394,0.0003532383,0.9707812],"genre_scores_gemma":[0.00074561,0.0007800286,0.00004489973,0.000944135,0.0002531765,0.00001066142,0.000034754,0.00004164845,0.997145],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.6711165,"threshold_uncertainty_score":0.4691123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02203460621575587,"score_gpt":0.2840909848645789,"score_spread":0.262056378648823,"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."}}