{"id":"W4405468346","doi":"10.1007/s44337-024-00174-9","title":"A novel recommender framework with chatbot to stratify heart attack risk","year":2024,"lang":"en","type":"article","venue":"Discover Medicine","topic":"Machine Learning in Healthcare","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Thompson Rivers University","funders":"Natural Sciences and Engineering Research Council of Canada; Thompson Rivers University","keywords":"Computer science; Recommender system; Chatbot; Machine learning; Artificial intelligence; Classifier (UML); Variety (cybernetics); Attack model; Computer security","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0005952343,0.0002356323,0.0002957961,0.0001765447,0.0001254921,0.000162194,0.0005748349,0.00008788065,0.0002045771],"category_scores_gemma":[0.0002942358,0.0001537378,0.00004275583,0.0009434927,0.00006364168,0.0003187915,0.0001700433,0.0008603442,0.0001833987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007632918,"about_ca_system_score_gemma":0.0001766007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009289334,"about_ca_topic_score_gemma":0.0001466068,"domain_scores_codex":[0.9979051,0.00009932695,0.0002948023,0.000699107,0.0005823983,0.0004192944],"domain_scores_gemma":[0.998259,0.000490635,0.00005617993,0.0008399746,0.00005970936,0.0002944978],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002110805,0.0003844925,0.0809811,0.001488107,0.0004507154,0.0004453151,0.06623074,0.009498532,0.0008594414,0.3556526,0.3244932,0.1593048],"study_design_scores_gemma":[0.001911169,0.005059159,0.1229677,0.007494877,0.0001180197,0.0004866958,0.001231221,0.1938074,0.0001642744,0.009051596,0.6561573,0.001550524],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01330239,0.0007547123,0.8509463,0.1311228,0.001261298,0.0003441999,0.00001293625,0.0003556332,0.001899697],"genre_scores_gemma":[0.882482,0.00003572818,0.1044698,0.01105804,0.0009636771,0.00005398824,0.00001183927,0.00004426231,0.000880633],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8691796,"threshold_uncertainty_score":0.6269245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03815359315098223,"score_gpt":0.3634969913257305,"score_spread":0.3253433981747483,"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."}}