{"id":"W4231470983","doi":"10.5539/mas.v10n1p207","title":"Reviewer Acknowledgements for Modern Applied Science, Vol. 10, No. 1","year":2016,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Advanced Physical and Chemical Molecular Interactions","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Engineering ethics; Library science; Philosophy; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03799671,0.002776145,0.005873444,0.009485839,0.005719819,0.01043097,0.006031301,0.01852836,0.08771498],"category_scores_gemma":[0.4024451,0.00176792,0.004559936,0.003961256,0.002852868,0.007378911,0.004103258,0.01369787,0.05175977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006030717,"about_ca_system_score_gemma":0.01155715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003806073,"about_ca_topic_score_gemma":0.005937271,"domain_scores_codex":[0.9597391,0.007932384,0.008345914,0.002812915,0.01941305,0.001756639],"domain_scores_gemma":[0.3020154,0.03760729,0.01330603,0.006046521,0.6315938,0.009430982],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002109398,0.00000351901,0.00004989862,0.0003583959,0.000007735981,0.00004691352,0.00002971841,0.000007127386,0.00003053245,0.0001164074,0.9965863,0.002742254],"study_design_scores_gemma":[0.000112851,0.00002894677,0.0005617549,0.002207651,0.00006527985,0.0005585894,0.0002324795,0.0001671229,0.0001888094,0.001161034,0.9946247,0.0000906831],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.00006943828,0.002944442,0.0006226108,0.1365402,0.856989,0.0002890107,0.0003906317,0.0002414545,0.001913162],"genre_scores_gemma":[0.002416824,0.0076677,0.001817626,0.187201,0.7569182,0.001466643,0.001097231,0.0007202824,0.04069453],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.08771498,"threshold_uncertainty_score":0.2934358,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0148818353095749,"score_gpt":0.2769244335421696,"score_spread":0.2620425982325947,"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."}}