{"id":"W4394805805","doi":"10.5433/2176-6665.2016v21n2e27989","title":"Apresentação","year":2016,"lang":"pt","type":"article","venue":"Science Publishing Corporation Inc. - International Journal of Engineering & Technology","topic":"History, Culture, and Diplomacy","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001376092,0.0002529156,0.0003012705,0.002948259,0.0003443247,0.00249999,0.002625667,0.000211696,0.0005285238],"category_scores_gemma":[0.003191574,0.000186869,0.0001274814,0.0005393524,0.00102167,0.009688372,0.0002187371,0.0005661302,0.00007092243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008299257,"about_ca_system_score_gemma":0.000584488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004826645,"about_ca_topic_score_gemma":0.00004005923,"domain_scores_codex":[0.9968101,0.00002525899,0.00092368,0.0003439474,0.001471485,0.0004255197],"domain_scores_gemma":[0.9943054,0.0001053932,0.001110272,0.0002946519,0.003988544,0.0001957055],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006568059,0.0002013618,0.001772691,0.00002069053,0.0001881943,0.0001348088,0.004059381,0.0005636764,0.04587856,0.8836221,0.04734677,0.01614605],"study_design_scores_gemma":[0.001670005,0.0003963223,0.000728612,0.0006714714,0.00005927384,0.0004692194,0.002839301,0.001764198,0.007077966,0.00843915,0.9752751,0.0006093929],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3441455,0.005822975,0.2356371,0.1742017,0.1721106,0.001133902,0.0006504299,0.001606505,0.06469133],"genre_scores_gemma":[0.9938751,0.00006432931,0.0008495995,0.0001723772,0.001880525,0.000005300692,0.000007288623,0.00002605646,0.003119466],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9279283,"threshold_uncertainty_score":0.9985355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02293734696473753,"score_gpt":0.2539691255108553,"score_spread":0.2310317785461178,"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."}}