{"id":"W4377821294","doi":"10.3390/ai4020024","title":"Machine-Learning-Based Prediction Modelling in Primary Care: State-of-the-Art Review","year":2023,"lang":"en","type":"article","venue":"AI","topic":"Machine Learning in Healthcare","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Modalities; Psychological intervention; Primary care; Health care; Medicine; Disease; Machine learning; Artificial intelligence; Intensive care medicine; Computer science; Family medicine; Nursing; Pathology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.003292184,0.001214551,0.002316649,0.002219878,0.0002845356,0.002309387,0.002070429,0.002105429,0.003632062],"category_scores_gemma":[0.01204877,0.0006518221,0.002329837,0.003467811,0.0006092414,0.001984946,0.0008678049,0.001770203,0.001015966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001242434,"about_ca_system_score_gemma":0.003062096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005952096,"about_ca_topic_score_gemma":0.004101828,"domain_scores_codex":[0.9988763,0.0004694369,0.0001531053,0.0001977309,0.0002505199,0.00005293337],"domain_scores_gemma":[0.9851475,0.01339421,0.0004881154,0.0001527975,0.0007047591,0.000112645],"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":[0.00009150972,0.0001245312,0.001989972,0.04317009,0.0006952424,0.0001817808,0.0001653131,0.01012776,0.000144708,0.009115339,0.01414182,0.920052],"study_design_scores_gemma":[0.0001177628,0.0007731986,0.0122311,0.1142495,0.005284184,0.002280429,0.0005636648,0.0635759,0.0009903692,0.04687757,0.7527425,0.0003138042],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003584767,0.9948074,0.003085133,0.0008077878,0.0001753599,0.00001489605,0.00005611807,0.00002418161,0.0006707109],"genre_scores_gemma":[0.007051859,0.9895087,0.002559122,0.0002390338,0.0003608319,0.00002872941,0.00009986608,0.000007172612,0.0001445598],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005952096,"threshold_uncertainty_score":0.01741093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01727187179906854,"score_gpt":0.265693435690693,"score_spread":0.2484215638916245,"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."}}