{"id":"W2522004779","doi":"10.25334/q4sx15","title":"Datasets for Whitlock & Schluter's \"The Analysis of Biological Data\"","year":2018,"lang":"en","type":"article","venue":"QUBES","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004518224,0.002637739,0.003058519,0.006114549,0.002262597,0.004418712,0.006653515,0.002505547,0.3890692],"category_scores_gemma":[0.01889,0.001610948,0.002525376,0.008369816,0.0009910672,0.003535596,0.006186745,0.004927757,0.2853701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00136191,"about_ca_system_score_gemma":0.003415037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004060515,"about_ca_topic_score_gemma":0.008142238,"domain_scores_codex":[0.9972409,0.0005214897,0.000454552,0.0006822525,0.0007125058,0.0003882752],"domain_scores_gemma":[0.9914004,0.002788949,0.0007555223,0.002627819,0.001401808,0.001025395],"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":[0.0002185129,0.00004851571,0.0005313084,0.001315325,0.00007345052,0.00003645001,0.00006355994,0.0002395554,0.0007750689,0.002122302,0.988189,0.006386939],"study_design_scores_gemma":[0.0004652987,0.00004197718,0.002985743,0.0005490992,0.00007953359,0.0001043224,0.00007627939,0.0007673794,0.003235938,0.0120883,0.9794918,0.0001143249],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002051621,0.00007784356,0.002431817,0.0001736334,0.0001339429,0.0001185286,0.9856608,0.00834544,0.002852876],"genre_scores_gemma":[0.001277233,0.000147923,0.009558634,0.0003392099,0.00005073774,0.001363525,0.9771231,0.00723586,0.002903668],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3890692,"threshold_uncertainty_score":0.8714186,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08185099069105624,"score_gpt":0.3688933378980567,"score_spread":0.2870423472070005,"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."}}