{"id":"W7046166073","doi":"","title":"Criterios Medline para la selección de revistas científicas: metodología e indicadores. Aplicación a las revistas médicas españolas con especial atención a las de salud pública","year":2006,"lang":"es","type":"article","venue":"","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"MEDLINE; Bibliometrics; China; Web of science","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":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.06936245,0.002330032,0.005520815,0.06342988,0.002914392,0.010855,0.003392331,0.002998377,0.01734957],"category_scores_gemma":[0.2979673,0.001397186,0.004073527,0.05156045,0.002250565,0.007218442,0.004597011,0.002625356,0.006584489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006099186,"about_ca_system_score_gemma":0.04770473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004144506,"about_ca_topic_score_gemma":0.008510043,"domain_scores_codex":[0.8509627,0.03885801,0.07947165,0.002783534,0.02659012,0.001334026],"domain_scores_gemma":[0.628014,0.2158136,0.0509134,0.00948648,0.09012105,0.00565147],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"observational","study_design_scores_codex":[0.001340018,0.0001890042,0.01790828,0.4609025,0.002220465,0.001304001,0.006102841,0.0006370898,0.005211911,0.008364923,0.1079036,0.3879154],"study_design_scores_gemma":[0.0007011826,0.0009821943,0.05191146,0.2420881,0.007397197,0.002716743,0.008239524,0.001047053,0.006096447,0.01488737,0.6634421,0.0004907107],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.03441156,0.5361573,0.04015649,0.05181725,0.01398804,0.09525599,0.1393173,0.002264119,0.08663201],"genre_scores_gemma":[0.1219615,0.3030842,0.3400534,0.01227924,0.004750668,0.1454123,0.04977865,0.0008685516,0.02181138],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9365701,"threshold_uncertainty_score":0.3668281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01656411801582847,"score_gpt":0.3045160583993169,"score_spread":0.2879519403834885,"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."}}