{"id":"W2065291980","doi":"10.1111/j.1541-0420.2010.01509.x","title":"A Primer of Ecology with R by STEVENS, M. H. H.","year":2010,"lang":"en","type":"article","venue":"Biometrics","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Biodiversity Monitoring Institute; University of Alberta","funders":"","keywords":"Primer (cosmetics); Computational statistics; Statistical software; Inference; Bivariate analysis; R package; Humanities; Mathematics; Combinatorics; Statistics; Ecology; Philosophy; Computer science; Biology; Artificial intelligence; Physics","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":[],"consensus_categories":[],"category_scores_codex":[0.00008378755,0.00006074525,0.00006971443,0.0001700422,0.00001955891,0.000004690926,0.0001178199,0.00012192,0.00003318854],"category_scores_gemma":[0.00006251479,0.00004798757,0.00002289042,0.000600664,0.00006368074,0.000001143402,0.00003041823,0.00005165975,0.000004433912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003254311,"about_ca_system_score_gemma":0.0000576019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000055222,"about_ca_topic_score_gemma":0.000007406387,"domain_scores_codex":[0.9995337,0.00001317473,0.00009898641,0.0001642365,0.00009374724,0.00009620508],"domain_scores_gemma":[0.9995256,0.000007216226,0.00008333924,0.000246282,0.00009047974,0.00004709433],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002601026,0.00006200797,0.0118721,0.000005090295,0.00001141855,1.325026e-7,0.000004326078,2.733601e-7,0.9654605,0.00005483565,0.01751084,0.004992416],"study_design_scores_gemma":[0.0002580594,0.0001999049,0.01419482,0.000001004926,0.000005419671,0.000002800225,0.00001274733,0.000002762009,0.6669899,0.000005238506,0.3182664,0.00006101355],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965434,0.000330161,0.001629198,0.0001079188,0.0001833678,0.00008261618,0.00001970268,0.000005609069,0.00109802],"genre_scores_gemma":[0.9969195,0.00007185804,0.001681548,0.00008859287,0.00004899093,0.00001025918,0.00006220728,0.000009172793,0.001107891],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3007555,"threshold_uncertainty_score":0.1956876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006217168623040417,"score_gpt":0.2393911780126522,"score_spread":0.2331740093896118,"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."}}