{"id":"W6929548578","doi":"10.5061/dryad.30320","title":"Data from: Genes underlying altruism","year":2013,"lang":"en","type":"dataset","venue":"Data Archiving and Networked Services (DANS)","topic":"Radiopharmaceutical Chemistry and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; University of Alberta; Western University","funders":"","keywords":"Altruism (biology); Inclusive fitness; Population; Set (abstract data type); Allele; Kin selection; Rubric","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001074262,0.001659242,0.001133499,0.002304205,0.0006482546,0.002045346,0.001979112,0.001922317,0.03744278],"category_scores_gemma":[0.007154868,0.0004359664,0.00107259,0.003506,0.0004608541,0.000786319,0.001693789,0.001408328,0.03526643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001399702,"about_ca_system_score_gemma":0.002306502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01824672,"about_ca_topic_score_gemma":0.03122013,"domain_scores_codex":[0.9992343,0.0001501067,0.000113129,0.00022482,0.0001811417,0.00009638957],"domain_scores_gemma":[0.9985096,0.0005412564,0.0002649881,0.0002504556,0.0002475274,0.0001860976],"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":[0.0002910287,0.00003116524,0.005642209,0.00221882,0.0001227603,0.0001256274,0.00005659767,0.0006484881,0.0004183354,0.0009126851,0.98217,0.007362316],"study_design_scores_gemma":[0.0005493867,0.00003508312,0.01667525,0.0004987629,0.0001175015,0.000308751,0.00008835841,0.0008533813,0.0009424862,0.002287397,0.977591,0.00005260878],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004604951,0.0003637054,0.0001478054,0.0002542618,0.00003195089,0.00001684969,0.9976846,0.0003193649,0.0007209036],"genre_scores_gemma":[0.001956048,0.0002812944,0.0005164089,0.0001536247,0.00001369656,0.00009778598,0.996291,0.00006320321,0.0006270254],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03744278,"threshold_uncertainty_score":0.1252586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1570234052707389,"score_gpt":0.3773292175082812,"score_spread":0.2203058122375423,"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."}}