{"id":"W6980919541","doi":"","title":"Del rey abajo ninguno, y labrador más honrado García del Castañar : comedia famosa","year":2021,"lang":"es","type":"book","venue":"Gredos (University of Salamanca)","topic":"Nanofabrication and Lithography Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Period (music); Feature (linguistics); Margin (machine learning)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005098342,0.001391787,0.0008222249,0.001896473,0.001707752,0.003400102,0.0008217053,0.001556124,0.07911591],"category_scores_gemma":[0.001113714,0.0004573872,0.0004949602,0.001645823,0.001114925,0.002744718,0.001244518,0.00260636,0.03960748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002574816,"about_ca_system_score_gemma":0.001566629,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03240236,"about_ca_topic_score_gemma":0.09419224,"domain_scores_codex":[0.9996916,0.00004570518,0.00001047969,0.00008354009,0.0001293031,0.00003936705],"domain_scores_gemma":[0.9997292,0.00006510536,0.00002693263,0.00002251894,0.0001194109,0.00003682247],"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":[0.00009431018,0.00001692834,0.0002057795,0.0003245239,0.000008704978,0.0001422773,0.0005855261,0.0001222937,0.000715103,0.02152766,0.809934,0.166323],"study_design_scores_gemma":[0.000002429592,0.000004871597,0.0001885874,0.00009826855,0.000002964268,0.00008688369,0.00009573015,0.00002280831,0.0001006498,0.0008264056,0.9985663,0.000004096058],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001705106,0.4069407,0.004487928,0.03169018,0.01834901,0.00006320787,0.001020302,0.001392002,0.5343516],"genre_scores_gemma":[0.006075201,0.05287481,0.002703436,0.003295189,0.00191514,0.00004954598,0.0003582776,0.0008038549,0.9319246],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.07911591,"threshold_uncertainty_score":0.2646691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00839600557209472,"score_gpt":0.1796043263475258,"score_spread":0.1712083207754311,"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."}}