{"id":"W4396860301","doi":"10.1515/comp-2022-0279","title":"The use of artificial neural networks and decision trees: Implications for health-care research","year":2024,"lang":"en","type":"article","venue":"Open Computer Science","topic":"Sex and Gender in Healthcare","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University","funders":"","keywords":"Decision tree; Artificial neural network; Computer science; Artificial intelligence; Health care; Management science; Machine learning; Engineering; Political science","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":[0.03678739,0.0007131008,0.001079084,0.003544568,0.0009230065,0.005148491,0.001976918,0.003109636,0.005384609],"category_scores_gemma":[0.1569505,0.0004020021,0.0009627155,0.004630784,0.00476303,0.007013214,0.001813038,0.00558181,0.0004983541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003866523,"about_ca_system_score_gemma":0.003832594,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005931632,"about_ca_topic_score_gemma":0.006768187,"domain_scores_codex":[0.9750074,0.0207426,0.0008386564,0.0008401814,0.002221516,0.0003497357],"domain_scores_gemma":[0.7127638,0.2674374,0.005709927,0.002176014,0.00994828,0.001964462],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003813474,0.0003184348,0.02204175,0.003938144,0.0005831422,0.0003629947,0.002077952,0.02375657,0.000135407,0.4719979,0.01689692,0.4575096],"study_design_scores_gemma":[0.00003849329,0.0001442111,0.005968021,0.007382036,0.00009865199,0.0001453283,0.001520646,0.02512728,0.000144457,0.9304214,0.02893173,0.00007789804],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"review","genre_gemma":"methods","genre_scores_codex":[0.02834603,0.526318,0.1128859,0.2951896,0.003852056,0.0002382968,0.000643286,0.0001472151,0.03237965],"genre_scores_gemma":[0.6095457,0.2671757,0.09134693,0.02123606,0.007131422,0.0005820367,0.0003127573,0.00009308732,0.002576228],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.03678739,"threshold_uncertainty_score":0.1945527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4241349697180593,"score_gpt":0.5352891739010777,"score_spread":0.1111542041830184,"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."}}