{"id":"W2744931998","doi":"10.5489/cuaj.4818","title":"CUA-AUA International Fellows Program: Boston 2017","year":2017,"lang":"es","type":"article","venue":"Canadian Urological Association Journal","topic":"Academic Publishing and Open Access","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Library science; Medical education; Computer science; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.01042064,0.0003478905,0.0005746906,0.000562619,0.004228527,0.03196915,0.008499068,0.001214253,0.003688794],"category_scores_gemma":[0.04556299,0.0002727253,0.0004257018,0.0002633781,0.0002799216,0.004142771,0.0004678231,0.002902644,0.00170693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001853207,"about_ca_system_score_gemma":0.001766607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005572838,"about_ca_topic_score_gemma":0.001903235,"domain_scores_codex":[0.9934334,0.0006483407,0.00122548,0.0007252074,0.002720491,0.001247091],"domain_scores_gemma":[0.9916357,0.0007642887,0.003308679,0.0007283139,0.001548547,0.0020145],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001982222,0.00004410003,0.5690269,7.225193e-7,0.00009261272,0.000119172,0.00009021118,0.00001750735,0.000003566749,0.0008577363,0.3426872,0.0870405],"study_design_scores_gemma":[0.0003983626,0.00007429912,0.4445771,0.00001836014,0.00002831759,0.00008266533,0.00008436314,0.0008220455,0.000002485937,0.004712513,0.5489948,0.0002047572],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3506087,0.0006846614,0.0001260836,0.4278007,0.01676469,0.0005217011,0.00040229,0.00007498141,0.2030162],"genre_scores_gemma":[0.9729294,0.0005149814,0.0003062683,0.005406076,0.003963784,0.00001370843,0.00002664876,0.00002018233,0.016819],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6223207,"threshold_uncertainty_score":0.9999725,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06575360637167786,"score_gpt":0.3821344110210702,"score_spread":0.3163808046493923,"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."}}