{"id":"W2767304995","doi":"10.2174/157016461201150506195017","title":"Meet Our Editor-in-Chief:","year":2015,"lang":"en","type":"article","venue":"Current Proteomics","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Editor in chief; Computer science; Management; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007657839,0.0001443729,0.0003296855,0.0002033936,0.0000538766,0.00008941691,0.0002782041,0.00006068064,0.0002407895],"category_scores_gemma":[0.000162847,0.0001667918,0.00007979089,0.0001757258,0.00004020472,0.0002764784,0.0001513406,0.0001317703,0.01023702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002222702,"about_ca_system_score_gemma":0.00004286773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004440602,"about_ca_topic_score_gemma":0.00001182447,"domain_scores_codex":[0.9987085,0.000008479999,0.0004739028,0.0004375557,0.00003778708,0.0003338114],"domain_scores_gemma":[0.9993463,0.000007313153,0.0001992869,0.0002806841,0.00003130476,0.0001350902],"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":[0.00001796288,0.0001258064,0.03533091,0.00002121835,0.00001834668,0.00000158733,0.0008019754,0.0001232234,0.000002168454,0.07234401,0.8905092,0.0007035988],"study_design_scores_gemma":[0.0009989177,0.00002720893,0.001053736,0.00001991238,0.000002758036,9.748743e-7,0.0007211212,0.001071369,0.00004057382,0.02138916,0.9743739,0.0003003255],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1819319,0.01216387,0.00273012,0.001774754,0.1861473,0.001789345,0.001020956,0.0002188436,0.6122229],"genre_scores_gemma":[0.901547,0.0007330676,0.004818254,0.0001941882,0.01049457,0.0003103614,0.00004932374,0.00008692233,0.08176631],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7196151,"threshold_uncertainty_score":0.9905336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09341856545621013,"score_gpt":0.2626020059568577,"score_spread":0.1691834405006475,"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."}}