{"id":"W4400700531","doi":"10.4995/carma2024.2024.19017","title":"6th International Conference on Advanced Research Methods and Analytics - CARMA 2024","year":2024,"lang":"en","type":"paratext","venue":"","topic":"Artificial Intelligence in Healthcare","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fundação para a Ciência e a Tecnologia; Consortium of International Agricultural Research Centers; European Commission; International Development Research Centre","keywords":"Analytics; Computer science; Data science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02497573,0.001874467,0.002112002,0.005624433,0.001667212,0.01510098,0.004165131,0.004305992,0.2141655],"category_scores_gemma":[0.03597621,0.0009311221,0.001808764,0.003414895,0.002368558,0.008518348,0.007632792,0.006226878,0.1415124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002831439,"about_ca_system_score_gemma":0.009921541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003339917,"about_ca_topic_score_gemma":0.002734789,"domain_scores_codex":[0.9822286,0.005678679,0.001242121,0.001638747,0.008303382,0.000908534],"domain_scores_gemma":[0.9660408,0.009161523,0.001059925,0.005150544,0.0141359,0.004451218],"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":[0.0001563191,0.0001860594,0.0005661887,0.0007784802,0.00007181059,0.0000916723,0.0001633117,0.0006060244,0.001408864,0.04069499,0.5969591,0.3583173],"study_design_scores_gemma":[0.00001071019,0.00002734942,0.000344938,0.0003655548,0.00001430902,0.0000869123,0.0000583619,0.001276982,0.0005096089,0.01066962,0.9866214,0.00001423661],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002467973,0.05123914,0.318227,0.03908759,0.06407877,0.002658365,0.01017356,0.01371381,0.4983538],"genre_scores_gemma":[0.02107241,0.03880517,0.2172151,0.007529216,0.015785,0.00271532,0.02499129,0.006694925,0.6651917],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2141655,"threshold_uncertainty_score":0.7164549,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6875562833676188,"score_gpt":0.7326804534009861,"score_spread":0.04512417003336733,"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."}}