{"id":"W4241636354","doi":"10.4141/cjps11505","title":"Advanced statistical tools and their applications to agricultural research: An introduction","year":2011,"lang":"en","type":"article","venue":"Canadian Journal of Plant Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Agriculture; Computer science; Data science; Biology; Ecology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001048511,0.00005311871,0.00007317196,0.00004847259,0.0005379203,0.0001467628,0.0003262159,0.00002182534,0.00006668833],"category_scores_gemma":[0.0001679798,0.00001922829,0.00001018612,0.0004662268,0.0002015468,0.0002591066,0.00001677581,0.0001470302,0.00000469689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003319636,"about_ca_system_score_gemma":0.00009799333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001121218,"about_ca_topic_score_gemma":0.01724726,"domain_scores_codex":[0.9992255,0.00004013171,0.0001320076,0.0001555873,0.0001593243,0.0002874394],"domain_scores_gemma":[0.9987623,0.00009492523,0.00004394488,0.00003237189,0.0002452919,0.0008211693],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00001926425,0.00001904894,0.002371081,0.000002404589,0.000003307749,0.00001480811,0.001806258,0.0000121247,0.7798389,0.009544202,0.002436718,0.2039319],"study_design_scores_gemma":[0.00006623979,0.00105405,0.8602144,0.00002094682,0.00000435687,0.0006707981,0.008043399,0.0000386777,0.01111237,0.002061348,0.1165125,0.0002009279],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977515,0.00004040927,0.00006877542,0.001124715,0.0001299668,0.0001119622,0.0004082119,0.000002620669,0.0003618083],"genre_scores_gemma":[0.9985082,0.000007629202,0.001111766,0.00004528922,0.0002924881,0.000002648822,0.00001551519,2.855734e-7,0.00001622108],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8578433,"threshold_uncertainty_score":0.9624377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1552366590829183,"score_gpt":0.2682240728777944,"score_spread":0.1129874137948761,"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."}}