{"id":"W4231608665","doi":"10.5539/mas.v11n9p172","title":"Reviewer Acknowledgements for Modern Applied Science, Vol. 11, No. 9","year":2017,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Advanced Physical and Chemical Molecular Interactions","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Library science; Engineering ethics; Computer science; Engineering","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":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.000225786,0.0002835929,0.0003040234,0.0000669681,0.002307663,0.0004393254,0.002473976,0.00007178494,0.0002768828],"category_scores_gemma":[0.002758353,0.0002513204,0.0001184402,0.0002329552,0.002229811,0.0004776485,0.000761618,0.0002317194,0.0005755629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001908417,"about_ca_system_score_gemma":0.0001992034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001983125,"about_ca_topic_score_gemma":0.000002788814,"domain_scores_codex":[0.9968997,0.000001638738,0.0003036501,0.00116192,0.0008161039,0.000817047],"domain_scores_gemma":[0.994357,0.00004285762,0.0002526582,0.001521779,0.003486902,0.0003387916],"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":[0.00002093445,0.0001364145,0.00001199325,0.00006979593,0.00000591918,2.477869e-7,0.00005953238,0.00002664459,0.9733174,0.001412911,0.00351558,0.02142258],"study_design_scores_gemma":[0.0005557291,0.0000078762,0.00002699663,0.00005568316,0.00002545227,2.665056e-7,0.00001537204,0.06646019,0.8090386,0.04545791,0.07793141,0.0004245089],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05513153,0.0001032484,0.3182339,0.0001267531,0.004554033,0.001128424,0.00008566042,0.0003372554,0.6202992],"genre_scores_gemma":[0.9875422,0.000008304469,0.004932858,0.0002339147,0.0009608436,0.0004226349,0.00001030707,0.00003240154,0.005856526],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9324107,"threshold_uncertainty_score":0.9999939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01992464739770357,"score_gpt":0.3027270109732591,"score_spread":0.2828023635755555,"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."}}