{"id":"W6959215213","doi":"10.7298/smzr-1a70","title":"Efficient Sample Size Calculator","year":2025,"lang":"en","type":"other","venue":"eCommons (Cornell University)","topic":"Plant pathogens and resistance mechanisms","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministère des Ressources naturelles et des Forêts","funders":"","keywords":"Sample size determination; Sample (material); Calculator; Table (database); Window (computing)","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":[0.00838247,0.001466088,0.001558653,0.003880101,0.0009590412,0.00258105,0.002226538,0.001220589,0.1355064],"category_scores_gemma":[0.05854237,0.001126921,0.001451932,0.002537773,0.0007194239,0.001531965,0.00214012,0.002111365,0.04901125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001360973,"about_ca_system_score_gemma":0.003668855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002887087,"about_ca_topic_score_gemma":0.004515898,"domain_scores_codex":[0.995193,0.001633857,0.0005608393,0.00115652,0.001201541,0.0002542814],"domain_scores_gemma":[0.9793529,0.01417263,0.0009637193,0.002462183,0.002713889,0.0003346369],"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":[0.001346157,0.000219752,0.005410378,0.001143558,0.0004043381,0.0001688847,0.0002571679,0.01004966,0.005302134,0.02027629,0.231394,0.7240278],"study_design_scores_gemma":[0.001711069,0.0005910321,0.01220857,0.0006052633,0.0005046022,0.001262589,0.0003000443,0.4373873,0.04591107,0.07017069,0.4290549,0.0002929403],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.003936242,0.0005007989,0.8664339,0.0003370339,0.0005658129,0.001309897,0.008390042,0.1102473,0.008279095],"genre_scores_gemma":[0.03467706,0.000246286,0.9282056,0.0003621074,0.0002257318,0.003579273,0.007099481,0.01135726,0.01424727],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.1355064,"threshold_uncertainty_score":0.4533141,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01779139889161338,"score_gpt":0.1674544371191437,"score_spread":0.1496630382275303,"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."}}