{"id":"W4250737301","doi":"10.5539/ijc.v10n2p106","title":"Reviewer Acknowledgements","year":2018,"lang":"en","type":"article","venue":"International Journal of Chemistry","topic":"Various Chemistry Research Topics","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Library science; China; Political science; Law; Computer science","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002453235,0.0001327148,0.0001830221,0.00002863368,0.00003730349,0.00007281294,0.001135229,0.0001040173,0.03086341],"category_scores_gemma":[0.005040478,0.0001213299,0.0001657326,0.00006322929,0.0001469391,0.0001442446,0.0001746908,0.0003495241,0.0002670335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002101861,"about_ca_system_score_gemma":0.0001854269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":7.847729e-7,"about_ca_topic_score_gemma":4.123479e-7,"domain_scores_codex":[0.9982864,0.000006872866,0.0005064174,0.0001462343,0.0008550315,0.0001990755],"domain_scores_gemma":[0.9870306,0.00004114401,0.0003731785,0.0002360327,0.01216113,0.0001578633],"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":[0.00008507117,0.0001867094,0.00360501,0.0001441555,0.0004094875,0.0001148871,0.00007716034,0.000001122754,0.7660579,0.000004197324,0.2109301,0.01838423],"study_design_scores_gemma":[0.0004567193,0.000008223426,0.00003182857,0.0001729923,0.00001302643,0.00008412504,0.00002346331,0.00001695582,0.6337106,0.0001883556,0.3652119,0.00008188825],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6186239,0.001458807,0.0003061846,0.0008644414,0.005413225,0.00003454907,0.00003485873,0.00005062861,0.3732134],"genre_scores_gemma":[0.9116064,0.0005335565,0.001186385,0.0002484031,0.03372534,0.000004432918,0.00002435145,0.00004442322,0.05262667],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3205868,"threshold_uncertainty_score":0.9700225,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02244449470619787,"score_gpt":0.3372736176272624,"score_spread":0.3148291229210646,"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."}}