{"id":"W4231865910","doi":"10.5539/ijc.v9n3p94","title":"Reviewer Acknowledgements","year":2017,"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; 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":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002625658,0.0001336086,0.0002049179,0.00001869601,0.0001135337,0.0002755465,0.002451019,0.0001057705,0.01232764],"category_scores_gemma":[0.01133293,0.0001229126,0.0002049884,0.00001278743,0.0001215919,0.0002758151,0.0003327655,0.0004280142,0.00010212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001825736,"about_ca_system_score_gemma":0.000169899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001848077,"about_ca_topic_score_gemma":4.891963e-7,"domain_scores_codex":[0.9983671,0.000004692389,0.0004586171,0.000142788,0.0008416223,0.0001851735],"domain_scores_gemma":[0.9914426,0.00003366854,0.0008121037,0.0005292687,0.007022256,0.0001601233],"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":[0.00009876089,0.0002811393,0.02245559,0.000334768,0.000722121,0.0004815102,0.00005599997,0.000005171786,0.7741785,0.000008066363,0.1593401,0.04203823],"study_design_scores_gemma":[0.000794551,0.00000383798,0.0003120284,0.0003058828,0.00001978086,0.00008940481,0.00001897255,0.0000181193,0.6789957,0.0003043858,0.3190228,0.000114501],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5684517,0.001523671,0.0001069281,0.001815028,0.005229865,0.00003442301,0.00004364476,0.00003146172,0.4227633],"genre_scores_gemma":[0.9321821,0.0008908305,0.000544403,0.00008137211,0.01182731,0.00000408606,0.00001513663,0.00003224582,0.05442247],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3683408,"threshold_uncertainty_score":0.996995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0311630562332463,"score_gpt":0.3569914273402786,"score_spread":0.3258283711070323,"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."}}