{"id":"W2886859647","doi":"10.14510/araj.2017.4116","title":"GOGU CONSTANTINESCU, SON OF CRAIOVA - EXPONENT OF ROMANIA","year":2017,"lang":"en","type":"article","venue":"Journal of the American Romanian Academy of Arts and Sciences","topic":"Globalization, Economics, and Policies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Exponent; Mathematics; Statistical physics; Physics; Philosophy; Linguistics","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":[],"consensus_categories":[],"category_scores_codex":[0.0009303727,0.00009243263,0.0005882528,0.000167724,0.0002322764,0.00005515125,0.0007912997,0.0000310245,0.00003009573],"category_scores_gemma":[0.000151524,0.00007113992,0.000154245,0.0001082134,0.002311878,0.0003454981,0.000108566,0.00008444674,0.000001504787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001276694,"about_ca_system_score_gemma":0.00003495516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000553597,"about_ca_topic_score_gemma":0.00001737168,"domain_scores_codex":[0.9987093,0.00001820452,0.0009036696,0.0001323175,0.00008370491,0.000152835],"domain_scores_gemma":[0.9946846,0.00004735437,0.005014867,0.0001550213,0.00003927091,0.00005891079],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003987753,0.00008322149,0.6888962,0.00004756666,0.00009679587,4.889714e-7,0.001717527,0.0001255988,0.001381142,0.3045964,0.001925588,0.001089554],"study_design_scores_gemma":[0.0002979498,0.0002497897,0.9690176,0.00009135823,0.00001658828,0.00002155688,0.0006235524,0.0002525583,0.001653155,0.01571649,0.01194765,0.0001117844],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9869941,0.0009993794,0.00003119627,0.004187809,0.0001991123,0.0000524832,0.00004519368,0.000001325764,0.007489343],"genre_scores_gemma":[0.9981554,0.001010601,0.0004875295,0.0001788435,0.00006786348,2.309979e-7,5.879102e-8,0.000004465065,0.00009505085],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2888799,"threshold_uncertainty_score":0.8518209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06339444876135415,"score_gpt":0.2844095015741001,"score_spread":0.2210150528127459,"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."}}