{"id":"W7056505272","doi":"","title":"29<sup xmlns:m=\"http://www.w3.org/1998/Math/MathML\" xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">e</sup> Congrès du CIÉF: Winnipeg, Manitoba, Canada","year":2015,"lang":"es","type":"article","venue":"Project Muse (Johns Hopkins University)","topic":"Laser Design and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Work (physics); Identification (biology); Context (archaeology)","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":["metaepi_narrow","sts","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity"],"category_scores_codex":[0.001616254,0.003878421,0.003249223,0.004906977,0.00207494,0.001248196,0.004409693,0.002510718,0.000009518886],"category_scores_gemma":[0.0006746058,0.003880998,0.001556236,0.01018375,0.001114229,0.003094922,0.002273312,0.004091576,0.006701336],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.004920081,"about_ca_system_score_gemma":0.006687237,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5155374,"about_ca_topic_score_gemma":0.2040111,"domain_scores_codex":[0.9856274,0.0006882835,0.002682283,0.003927096,0.00291077,0.004164177],"domain_scores_gemma":[0.9891907,0.001022433,0.001555032,0.004553083,0.001432536,0.002246209],"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":[0.0006052298,0.001370645,0.001667078,0.001308389,0.002003818,0.002748579,0.004748592,0.008051554,0.000419235,0.9725105,0.001778602,0.002787815],"study_design_scores_gemma":[0.00290922,0.0003748661,0.0003851798,0.0005306565,0.0009865762,0.0001796623,0.002800573,0.4833912,0.00004636805,0.000008838008,0.5065153,0.001871574],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9661698,0.0002538653,0.001628041,0.001318772,0.002342588,0.004184294,0.002299048,0.003119935,0.0186837],"genre_scores_gemma":[0.9549927,0.03196529,0.002708047,0.001513442,0.003696096,0.0003228171,0.001524864,0.001115234,0.002161564],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9725016,"threshold_uncertainty_score":0.9997886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02603026161493635,"score_gpt":0.2204477639245812,"score_spread":0.1944175023096449,"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."}}