{"id":"W2082868247","doi":"10.1027/0838-1925.14.3.130","title":"3rd INTERASMA Congress /Mesoamerican Chapter","year":2002,"lang":"en","type":"article","venue":"Allergy & Clinical Immunology International - Journal of the World Allergy Organization","topic":"Academic Publishing and Open Access","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Geography; Political 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":["metaresearch","open_science","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002745549,0.0002570593,0.0005910395,0.0005985729,0.0002476247,0.0006294166,0.007865475,0.0002522799,0.01122745],"category_scores_gemma":[0.01583087,0.0001633109,0.0004054226,0.001208199,0.0006671721,0.001508085,0.001245144,0.001332359,0.0004857967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001254264,"about_ca_system_score_gemma":0.0000850406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002624046,"about_ca_topic_score_gemma":0.0001736058,"domain_scores_codex":[0.9939359,0.000784069,0.002775645,0.0004603072,0.0017391,0.0003049478],"domain_scores_gemma":[0.9907078,0.002062564,0.003071584,0.0006684101,0.003333916,0.0001557639],"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":[0.0005539048,0.001223824,0.1630613,0.000001253594,0.00750706,0.0001519412,0.001495468,0.00178757,0.0008751016,0.06049509,0.6007895,0.162058],"study_design_scores_gemma":[0.001987472,0.0001705551,0.1053827,0.0001024006,0.00003914033,0.0004106907,0.0003670745,0.001177985,0.0006285356,0.008142699,0.8812389,0.0003517967],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6247299,0.001829281,0.006813808,0.264186,0.07029577,0.0003225462,0.00002362276,0.0001272097,0.03167193],"genre_scores_gemma":[0.9652945,0.001063729,0.0003420362,0.00556637,0.001244725,0.000001389726,0.000005788756,0.00003695874,0.02644447],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3405647,"threshold_uncertainty_score":0.9975024,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07655440683006669,"score_gpt":0.389906236728664,"score_spread":0.3133518298985973,"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."}}