{"id":"W4250501231","doi":"10.5539/ijsp.v8n2p192","title":"Reviewer Acknowledgements","year":2019,"lang":"en","type":"article","venue":"International Journal of Statistics and Probability","topic":"Statistics Education and Methodologies","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Library science; Medicine; Management; Sociology; Political science; Law","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001201355,0.00007277353,0.0001904463,0.00005790165,0.00001599507,0.00003963633,0.000179194,0.00002736176,0.001468637],"category_scores_gemma":[0.02618384,0.0000563409,0.00003488727,0.00003313558,0.00004991785,0.00006476157,0.00005051568,0.0001107124,0.00004502192],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004850314,"about_ca_system_score_gemma":0.00008095949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001091905,"about_ca_topic_score_gemma":0.000002192206,"domain_scores_codex":[0.9989873,0.0001072692,0.0004473608,0.00009160719,0.0002919042,0.00007460712],"domain_scores_gemma":[0.9921713,0.001174822,0.0003440267,0.0001008732,0.006154797,0.00005412032],"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":[0.0001232327,0.0004094419,0.04582103,0.0004108069,0.0003074569,0.00001021618,0.0007667637,0.000003896844,0.00009470488,0.3761678,0.4378596,0.1380251],"study_design_scores_gemma":[0.0004022868,0.00008650249,0.01070363,0.00007454637,0.00002902631,0.00001206463,0.00005744825,0.00005064499,0.00007744198,0.9101368,0.07829558,0.00007399749],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2836799,0.00101713,0.641832,0.001202818,0.06515311,0.0007847491,0.000789982,0.00003227357,0.005508021],"genre_scores_gemma":[0.03610132,0.0006472826,0.9600164,0.0002228852,0.0006648627,0.000003655828,0.00001019436,0.00001294738,0.002320505],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.533969,"threshold_uncertainty_score":0.9994441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1301028285165687,"score_gpt":0.4324437614393889,"score_spread":0.3023409329228202,"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."}}