{"id":"W4246625281","doi":"10.5539/ijsp.v4n4p149","title":"Reviewer Acknowledgements for International Journal of Statistics and Probability, Vol. 4, No. 4","year":2015,"lang":"en","type":"article","venue":"International Journal of Statistics and Probability","topic":"Data Analysis with R","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Animal science; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.003498649,0.0001810661,0.0004339179,0.0002136012,0.00004476405,0.0004036839,0.001364362,0.00005591989,0.00005983047],"category_scores_gemma":[0.05366192,0.0001454882,0.00008893393,0.0001027446,0.0001933827,0.0008176769,0.0004622656,0.00022986,0.000008110821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001790633,"about_ca_system_score_gemma":0.0004892785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000891655,"about_ca_topic_score_gemma":0.00003086505,"domain_scores_codex":[0.9968112,0.0001633537,0.001375762,0.0002617748,0.001212922,0.0001749812],"domain_scores_gemma":[0.9057242,0.0004645232,0.001276663,0.0002243279,0.09205459,0.0002557099],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005346583,0.0009783889,0.03633152,0.000282356,0.001354067,0.00006855346,0.0009825035,0.0001580495,0.00002780578,0.04071946,0.6738108,0.2447518],"study_design_scores_gemma":[0.004278985,0.001403076,0.01323896,0.0003423016,0.0002394775,0.0001194427,0.00004592449,0.02746093,0.00008428404,0.6500676,0.3023102,0.0004087943],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003534222,0.0004858361,0.9770417,0.0004948499,0.01721149,0.0002455829,0.0009109078,0.000005626473,0.00006974653],"genre_scores_gemma":[0.01339135,0.000657184,0.982803,0.000259527,0.002650397,0.00000693584,0.00004992625,0.00001405075,0.0001676079],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6093482,"threshold_uncertainty_score":0.9543095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03985747409347534,"score_gpt":0.3273586941778821,"score_spread":0.2875012200844068,"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."}}