{"id":"W4232462230","doi":"10.1093/beheco/arq134","title":"Eboard","year":2010,"lang":"en","type":"article","venue":"Behavioral Ecology","topic":"Civil and Structural Engineering Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Biology","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00003716433,0.0000799944,0.00009496428,0.00005781966,0.00002703438,0.00001287378,0.0001237629,0.0001116083,0.000992337],"category_scores_gemma":[0.000006813721,0.00007592185,0.0000333728,0.00006869755,0.00003772607,0.00004062001,0.00002398619,0.0003503031,0.0001724753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001664723,"about_ca_system_score_gemma":0.00000863983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000152738,"about_ca_topic_score_gemma":0.0003821763,"domain_scores_codex":[0.9995098,0.000003424449,0.00008346462,0.00008658558,0.00006059936,0.0002561483],"domain_scores_gemma":[0.9997441,0.00001371981,0.000003958005,0.0001402441,0.00001659317,0.00008141494],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00001107724,0.00006936209,0.05178281,0.00005364641,0.00002379515,0.0001560678,0.000217904,0.002880397,0.7888189,0.003946218,0.009756405,0.1422834],"study_design_scores_gemma":[0.0006696052,0.0001939464,0.8910725,0.000003162556,0.00002461888,0.0001604684,0.00002957378,0.01106727,0.01769637,0.0007128519,0.07778282,0.0005868361],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954003,0.00001116254,0.00002298384,0.00003683033,0.001438694,0.0000575153,0.000004379174,0.0003326802,0.002695448],"genre_scores_gemma":[0.9989914,0.000003505634,0.0005203147,0.00000782156,0.0001044617,0.00001970815,0.000005218578,0.00001788631,0.0003296341],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8392897,"threshold_uncertainty_score":0.9999209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009861643320448147,"score_gpt":0.2586714081044521,"score_spread":0.248809764784004,"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."}}