{"id":"W100721478","doi":"10.15173/m.v1i16.750","title":"Paramedicine: Recognition beyond Algorithms","year":2012,"lang":"en","type":"article","venue":"The Meducator","topic":"Clinical Reasoning and Diagnostic Skills","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Computer science; Artificial intelligence; Algorithm; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002406328,0.0008758637,0.0006298613,0.002330151,0.0007546512,0.005833564,0.00155905,0.002618747,0.008013336],"category_scores_gemma":[0.0271488,0.0003925285,0.0007407877,0.001387065,0.0009749774,0.007799251,0.002571358,0.002180667,0.0056002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009985028,"about_ca_system_score_gemma":0.002183062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003069523,"about_ca_topic_score_gemma":0.002389323,"domain_scores_codex":[0.997183,0.001099565,0.0002936879,0.0006789701,0.0005844604,0.0001603353],"domain_scores_gemma":[0.9898823,0.005552227,0.0007039913,0.001340516,0.00199883,0.0005220645],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001963737,0.0001637003,0.02873456,0.0003485998,0.00005840707,0.0003917014,0.0005194662,0.005562,0.00486715,0.03738732,0.03200081,0.8897698],"study_design_scores_gemma":[0.00006917532,0.0003868946,0.0224682,0.001424827,0.0002168265,0.005573147,0.001949909,0.4761053,0.03740782,0.2926626,0.1615598,0.0001754458],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"commentary","genre_scores_codex":[0.07156842,0.005554273,0.8348428,0.02446615,0.002013206,0.0004238888,0.00179488,0.008388794,0.05094758],"genre_scores_gemma":[0.4716424,0.002807075,0.4976071,0.004299036,0.0009753759,0.0002246045,0.002422136,0.0006132634,0.01940904],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.008013336,"threshold_uncertainty_score":0.02680731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04848592275399413,"score_gpt":0.3588096241521197,"score_spread":0.3103237013981256,"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."}}