{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00005561676,0.0002250733,0.0002774621,0.00004822658,0.0001446111,0.00002295914,0.0004130081,0.0002888938,0.006814975],"category_scores_gemma":[0.00003786452,0.0001033137,0.0001840386,0.00044996,0.00004200081,0.000007335376,0.0001479568,0.0001516994,0.0001648038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000556797,"about_ca_system_score_gemma":0.00002054759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008981924,"about_ca_topic_score_gemma":0.00948588,"domain_scores_codex":[0.999046,0.00006228616,0.00009326606,0.0004304315,0.00008289592,0.0002850879],"domain_scores_gemma":[0.9993427,0.0003005925,0.0001035602,0.0001194935,0.00002036276,0.0001133055],"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":[0.0001857671,0.001062528,0.003027456,0.0001775749,0.0005048835,0.001220819,0.00003274699,0.001350388,0.02915096,0.05424214,0.8977792,0.01126548],"study_design_scores_gemma":[0.0001607641,0.00004511323,0.001927248,0.0001153562,0.00006642076,0.000001952411,0.00008474705,0.0004010146,0.00007419891,0.0003304071,0.9963948,0.0003979939],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02474163,0.0002202854,0.0002531363,0.000110234,0.0006353182,0.0003740127,0.004766838,0.0004356652,0.9684629],"genre_scores_gemma":[0.06054785,0.0001014701,0.0002339212,0.00007839552,0.0001908875,6.184934e-7,0.0001169345,0.000008206119,0.9387217],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.09861553,"threshold_uncertainty_score":0.9940929,"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."}}