{"id":"W7043826608","doi":"","title":"TecnologÃas útiles para el consumidor pero con riesgo para las industrias de contenidos. El caso del libro electrónico","year":2014,"lang":"es","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Library Collection Development and Digital Resources","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Population; 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","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002049904,0.001060165,0.001882381,0.001784121,0.001071261,0.01288935,0.007953512,0.0006948581,0.003546502],"category_scores_gemma":[0.002087103,0.0009777541,0.000485561,0.003204158,0.0007957902,0.01006644,0.003171089,0.00142587,0.0001624003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002817426,"about_ca_system_score_gemma":0.001889339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008203667,"about_ca_topic_score_gemma":0.00004326802,"domain_scores_codex":[0.992385,0.001107232,0.00210012,0.0013968,0.001459002,0.001551839],"domain_scores_gemma":[0.9925947,0.002412884,0.00210433,0.001184606,0.0006643698,0.001039168],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009215674,0.0007370282,0.7772673,0.0001872499,0.0009158984,0.0001613345,0.0009085125,0.0001879489,0.01344957,0.004459419,0.1412208,0.05958337],"study_design_scores_gemma":[0.003168902,0.0001788754,0.7051837,0.001271654,0.0001940185,0.0002144543,0.0001997281,0.003195114,0.06755203,0.0170134,0.1997989,0.00202926],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9473827,0.01865765,0.003222544,0.001545808,0.001239196,0.001143644,0.00007574216,0.0002941525,0.02643854],"genre_scores_gemma":[0.9828053,0.008476608,0.0007694874,0.001814712,0.0004978364,0.0001065958,0.00002404629,0.0001143355,0.005391133],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07208367,"threshold_uncertainty_score":0.9992673,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2386166081635629,"score_gpt":0.4848789828610129,"score_spread":0.2462623746974499,"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."}}