{"id":"W4211243918","doi":"10.1016/s0004-3702(03)00061-4","title":"Editorial","year":2003,"lang":"es","type":"editorial","venue":"Artificial Intelligence","topic":"","field":"","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.003712076,0.002096532,0.001919371,0.0008119541,0.0009216068,0.001648154,0.002743748,0.005014091,0.004530647],"category_scores_gemma":[0.01717713,0.002358682,0.0009882012,0.002260405,0.001481167,0.0006949805,0.0004720195,0.005002819,0.2334563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001295863,"about_ca_system_score_gemma":0.00286326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00092129,"about_ca_topic_score_gemma":0.0003129851,"domain_scores_codex":[0.984335,0.001239454,0.003209189,0.003087298,0.005516512,0.002612528],"domain_scores_gemma":[0.9885641,0.003325246,0.001571335,0.002611942,0.00302873,0.0008986862],"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":[0.0007242742,0.0007413364,0.000004604547,0.0001288912,0.0002504687,0.00004585665,0.0004259897,0.0002464101,0.002328108,0.02489749,0.9605119,0.009694721],"study_design_scores_gemma":[0.00006487522,0.0005139287,2.872649e-7,0.000357178,0.0004084233,0.000004097152,0.0003391397,0.0002271235,0.02346968,0.03407776,0.9383351,0.002202473],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00005416373,0.0003825222,0.002551855,0.00009875057,0.9816588,0.001247623,0.001609236,0.000518227,0.01187883],"genre_scores_gemma":[0.001249244,0.0005958449,0.000489627,0.00004607068,0.9936781,0.0001614999,0.0006372024,0.0008057674,0.002336655],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.2289256,"threshold_uncertainty_score":0.9993882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03914407820526416,"score_gpt":0.3292292508103948,"score_spread":0.2900851726051306,"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."}}