{"id":"W4298326506","doi":"10.1093/fampra/cmac104","title":"An introduction to machine learning for classification and prediction","year":2022,"lang":"en","type":"article","venue":"Family Practice","topic":"Machine Learning in Healthcare","field":"Computer Science","cited_by":95,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Children's Hospital; Western University; University of Calgary","funders":"University of Calgary","keywords":"Machine learning; Interpretability; Artificial intelligence; Computer science; Hyperparameter; Support vector machine; Predictive power; Decision tree; Artificial neural network; Data mining","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004214479,0.002394425,0.001724361,0.003244648,0.0006737692,0.003973876,0.003073568,0.004353682,0.0149912],"category_scores_gemma":[0.01196862,0.0008245478,0.00157911,0.005243162,0.002367776,0.006080415,0.002016915,0.006724989,0.01179934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001410889,"about_ca_system_score_gemma":0.00163269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001525968,"about_ca_topic_score_gemma":0.001227846,"domain_scores_codex":[0.9951047,0.002098988,0.0004462842,0.0007200282,0.001475294,0.0001547195],"domain_scores_gemma":[0.9883243,0.009625966,0.0003682359,0.0007020449,0.0008231221,0.0001564848],"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":[0.00005597675,0.00009333673,0.001030135,0.002986366,0.0001756669,0.0002747699,0.0003026646,0.01494221,0.001114591,0.2791094,0.1751139,0.524801],"study_design_scores_gemma":[0.00001658433,0.00007508203,0.0007589908,0.001050318,0.0000299947,0.0004314373,0.00008312853,0.03404162,0.0004746666,0.3993866,0.5635573,0.00009422248],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.000825281,0.1699315,0.7692015,0.01755867,0.005360665,0.000253838,0.001684927,0.002433109,0.03275044],"genre_scores_gemma":[0.02656124,0.1823568,0.7370784,0.007063666,0.01653728,0.001280039,0.002658796,0.0007054107,0.02575841],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0149912,"threshold_uncertainty_score":0.05015051,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0365632557687345,"score_gpt":0.3303990513829546,"score_spread":0.2938357956142201,"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."}}