{"id":"W2008661917","doi":"10.1038/nmeth.3005","title":"Analysis of variance and blocking","year":2014,"lang":"en","type":"article","venue":"Nature Methods","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":75,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre","funders":"","keywords":"Blocking (statistics); Variance (accounting); Computational biology; Computer science; Biology; Business; Computer network","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":[0.03614616,0.002356826,0.003803267,0.002502361,0.001685743,0.004270531,0.003550321,0.002272924,0.0148976],"category_scores_gemma":[0.1119472,0.001530314,0.005022062,0.003420213,0.004228159,0.004107354,0.003493528,0.00674407,0.006453295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001855599,"about_ca_system_score_gemma":0.00627822,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00297803,"about_ca_topic_score_gemma":0.002006831,"domain_scores_codex":[0.9491487,0.03654812,0.00204744,0.005180722,0.005535864,0.001539306],"domain_scores_gemma":[0.9167039,0.05974243,0.002677821,0.01581245,0.004521724,0.0005416111],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008495779,0.00018245,0.001266256,0.0006875175,0.0006227267,0.0001100571,0.0005345958,0.01305103,0.00285972,0.7199127,0.01123256,0.2486908],"study_design_scores_gemma":[0.0002031259,0.0002033106,0.0009088148,0.0001624711,0.0002691009,0.0003010587,0.00008126396,0.119538,0.004817298,0.8428667,0.03054672,0.0001022644],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0004537649,0.0002475769,0.9977538,0.0001235801,0.0001296087,0.00007550101,0.00008588247,0.0003048235,0.0008254741],"genre_scores_gemma":[0.04765558,0.0008517425,0.9430031,0.0003526113,0.0003253501,0.00168649,0.0004479319,0.0009825847,0.004694447],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03614616,"threshold_uncertainty_score":0.1911615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3803121748862196,"score_gpt":0.6438468104135495,"score_spread":0.2635346355273299,"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."}}