{"id":"W4237967958","doi":"10.1016/j.yemd.2012.10.030","title":"10.1016/j.yemd.2012.10.030","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008164894,0.001181396,0.0005628818,0.001644275,0.0009959006,0.003668193,0.001174604,0.004293356,0.9390008],"category_scores_gemma":[0.001708691,0.0004247708,0.0006087939,0.0009856311,0.000943679,0.003094031,0.001646558,0.001484821,0.9056152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007573203,"about_ca_system_score_gemma":0.001140468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00125477,"about_ca_topic_score_gemma":0.00137221,"domain_scores_codex":[0.9996979,0.00003066659,0.00002880892,0.00008741058,0.00008080487,0.0000743931],"domain_scores_gemma":[0.999175,0.0001808723,0.00008876935,0.00008807585,0.000146528,0.0003207426],"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":[0.0001796327,0.0001768889,0.003255307,0.0003441143,0.00002446064,0.0005309044,0.00009823422,0.0001766047,0.0007454731,0.006748138,0.3608436,0.6268767],"study_design_scores_gemma":[0.00004666988,0.00005350896,0.002194984,0.0005257477,0.0000234155,0.002850462,0.000194781,0.0002003623,0.000299714,0.003769718,0.9898218,0.0000187925],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.003309391,0.007352919,0.004077205,0.007486428,0.002091935,0.00009815711,0.004879418,0.002980499,0.967724],"genre_scores_gemma":[0.008685855,0.00310566,0.003059612,0.002356703,0.0004333728,0.00007451355,0.003213793,0.0004856793,0.9785848],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06099916,"threshold_uncertainty_score":0.08700782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008398525938539797,"score_gpt":0.2205560878686959,"score_spread":0.2121575619301561,"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."}}