{"id":"W4392419815","doi":"10.7202/1109101ar","title":"INTELIGENCIA ARTIFICIAL Y MEDIACIÓN","year":2024,"lang":"es","type":"article","venue":"Lex Electronica","topic":"Law, Ethics, and AI Impact","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Psychology; Computer science","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":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009098137,0.0004472998,0.0004238329,0.0003707454,0.0003343318,0.002742068,0.0005475392,0.0003649156,0.002695745],"category_scores_gemma":[0.0003391705,0.0004199528,0.0003532748,0.000890826,0.0003132424,0.001313675,0.0002274497,0.001165535,0.009374317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002112393,"about_ca_system_score_gemma":0.0004331784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003231634,"about_ca_topic_score_gemma":0.0002252338,"domain_scores_codex":[0.996838,0.00003804468,0.0005809767,0.0007199856,0.0005679709,0.001255046],"domain_scores_gemma":[0.9990008,0.0001951168,0.000140957,0.0004670346,0.0001432394,0.00005277535],"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":[0.00006251627,0.0001286734,0.000353578,0.0009966475,0.000273073,0.00006488209,0.0002032464,0.00001120304,0.005296307,0.7768253,0.1582129,0.05757171],"study_design_scores_gemma":[0.0001239118,0.00007032646,0.0003309413,0.0004217999,0.0002852115,0.000005940498,0.00009979677,0.003432275,0.001321797,0.1002461,0.8930545,0.0006073527],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2244531,0.09803365,0.003754188,0.1369743,0.04050286,0.002209598,0.00008417269,0.004087096,0.489901],"genre_scores_gemma":[0.9720253,0.0009497525,0.00002147884,0.002750724,0.02120117,0.00001891833,0.00006283136,0.000114619,0.002855157],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7475722,"threshold_uncertainty_score":0.9998252,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0262991201500959,"score_gpt":0.2892283294641589,"score_spread":0.2629292093140631,"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."}}